COMPARATIVE AND QOS PERFORMANCE ANALYSIS OF TERRESTRIAL-AERIAL PLATFORMS-SATELLITES SYSTEMS FOR TEMPORARY EVENTS

International Journal of Computer Networks & Communications (IJCNC) Vol.11, No.6, November 2019
DOI: 10.5121/ijcnc.2019.11607 111
COMPARATIVE AND QOS PERFORMANCE ANALYSIS
OF TERRESTRIAL-AERIAL PLATFORMS-SATELLITES
SYSTEMS FOR TEMPORARY EVENTS
Faris. A. Almalki
Department of Computer Engineering, College of Computers and Information Technology
Taif University, Kingdom of Saudi Arabia
ABSTRACT
Wireless communications, nowadays, becomes a vital element of people’s daily life. Providing global
connectivity in future communication systems via the heterogeneous network opens up many research
topics to investigate potentialities, enabling technologies, and challenges from the perspective of the
integrated wireless systems. This paper aims to drive a comprehensive and comparative study on
terrestrial-aerial platforms- satellite wireless communications systems, includes their characteristics and
unravelling challenges. The comparison focuses on issues that reportedly can evaluate any wireless
systems for temporary events. These issues are altitude and coverage, Radio Frequency (RF) propagation,
interference, handover, power supply constraints, deployment and maintenance challenges, reliability on
special events or disaster relief, cost-effectiveness and environmental impact. Last, Quality of service
(QoS) performance is analysed for the four wireless communication systems from the temporary events
perspective using the OPNET Modeller simulation tool. Results infer that space-based wireless systems
outperform terrestrial ones.
KEYWORDS
Terrestial; Aerial Platforms; Satellites; QoS Performance; Temporary Events
1. INTRODUCTION
Wireless communications enable information to be transmitted over a distance between two
points or more, such as radio communication, without the need of cables, wires, or any other
electrical conductors. Wireless systems and services have been evolving swiftly as one of the
most essential means of everyday communication. Commonly, wireless communication systems
can be divided into three popular types: broadcasting, satellite and cellular services [1-2]. The
wireless communication introduces several advantages over wired communications, not only in
terms of mobility within a coverage area but also in terms of scalability; there is no need for
(re)wiring to (re)connect and no service interruption to the rest of the system. Besides the initial
costs, the cost of running and maintaining a wireless communication service is much less than the
wired one. Moreover, difficult terrain or long earthly distance no longer poses an issue as wireless
communications can be taken to remote areas, which in turn may support the provision of
applications and services such as e-educational, meteorological and e-commerce. Bell of
Canada’s recent advice is to optimize wireless connectivity resources for greater efficiency and
productivity [3-5]. Further, in man-made or natural disaster scenarios, wireless communication
systems have the further merit that much less of the infrastructure is vulnerable to physical
damage. Disaster Management and Emergency Response have widely adopted the use of wireless
sensor networks for numerous applications, such as gas leakage, water level monitoring, and air
pollution monitoring, all of which can help towards public safety, which in turn may lead to an

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environment which is more stable and secure. Therefore, these advantages of mobility,
expandability, affordability, connectivity, productivity, and surveillance and disaster management
for public safety and security are catalysts in user desirability for more wireless technology.
However, it is widely accepted that certain aspects of wired communications systems are far
superior to the wireless equivalent: speed and security [6-7].
Wireless communication services can be enabled either by terrestrial and/or space-based systems
includes satellites, aerial platforms; which might be High Altitude Platforms (HAPs), or Low
Altitude Platforms (LAPs). Although these systems provide services with a good level of data
rates, re-configurable provision with various dynamic coverage demands. However, the
deployment of these enabling technologies has led to a huge rise in the demand for mobile
communications, partly due to the exponential growth in multimedia traffic, and partly due to the
emergence of a new types of technology such as the Internet of Things (IoT), or Big Data which
in turn needs rapid developments in these wireless communication means. Moreover of the
objectives that emphasise the idea of conducting such a comprehensive work on these wireless
communication technologies is shedding the light on a heterogeneous wireless topology [6-8]. To
note, some references in the literature like [72] introduces the Medium Altitude platform (MAP)
with its own characteristics. However, nothing to get excited about the names as the major focus
in the literature was on the altitudes; Where it is classified as: first: below Stratosphere layer (few
hundred meters to 10 km), which represents LAPs and include MAPs as it states in [73];second:
at the Stratosphere layer (17-20km), which exclusively represents HAPs. These altitudes show the
best conditions (e.g. low wind speed, reasonable temperature, fewer flight paths of both civil and
military), which all help for platform stability.
The heterogeneous wireless topology can be achieved by deploying a multilayer approach that
integrates a terrestrial system with a space system that includes LAP, HAPs, and satellites. This
will provide seamless services over heterogeneous networks to offer a high QoS for global
connectivity. This architecture consists of various layers that can provide different applications
and services. Each of the architecture’s layers has different hardware and software capabilities, as
well as different frequency ranges. To achieve the integration idea, it is necessary to take into
consideration the available bandwidth, coverage, frequency ranges, uplink and downlink
connectivity, and interfaces between the terrestrial aerial platforms satellite systems.
Communication between the integrated system can either be optical or RF. The integrated system
includes aerial platforms network that is connected by inter-platform links, some ground stations
linked by platforms using both backhaul links, as well as hosting gateways to external networks,
intermediate nodes connected to the local wired or wireless system and platforms system, and
satellite links using backhaul links towards platforms and ground stations [7-9].
Considering an intensive study on four terrestrial, aerial platforms (HAP/LAP), and satellite
wireless communications systems are scarcely reported in the literature and where it focuses on
issues that reportedly can evaluate any wireless systems let alone taking into consideration QoS
parameters as part of the comparison. The motivation in this paper is to introduce a comparative
study on these wireless systems from two perspectives. First, drive a comprehensive study in the
selected systems includes their characteristics and unravelling research issues. Second, consider
QoS performance analysis for the four wireless communication systems from short-term large-
scale events perspective using the OPNET simulation tool. The rest of this paper organized as a
brief illustration of the terrestrial in section 2. In section 3 and 4 cover aerial platforms (HAP and
LAP), and satellite systems, respectively. Followed by section 5 general discussion on open
research issues associated with the four wireless systems and then drive a comprehensive
comparison between them. Section 6 shows the proposed architecture and QoS performance
analysis simulations and discussions of the selected wireless systems and finally, the conclusion
in section 7.

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2. WIRELESS COMMUNICATIONS: TERRESTRIAL SYSTEMS
The cellular terrestrial system is a wireless network which divides the geographical area into many
cells. Terrestrial links are generally used to provide services in a complex propagation
environment [2]. Each cell includes at least a single Base Station (BS) with a frequency that is
different from that of its neighbour cells, to avoid interference, as well as offering the best
bandwidth within each cell. Antennas within cellular systems usually tend to be Omni-directional
or recently smart antenna types, to cover as many reigns as possible. The cellular architecture
usually divides metropolitan and countryside zones into parts in accordance with specific wireless
service rules. Thus, the performance of the cellular system can be measured by the number of
deployment parameters associated with the cell, such as the cell’s size and shape, cell-splitting, as
well as the number of users in a cell. This includes the efficiency of frequency reuse, and the
handover process [1-3].A study shows that by 2020 the total connected devices that require
wireless service will possibly reach 50 billion [9]. In turn, mobile network providers will install
more BSs to develop their network’s infrastructure to accommodate more users. Deploying a huge
number of BSs to serve mobile users across the world will lead to certain issues that evaluate the
network performance of cellular mobile communication systems quite challenging [10]. This
section discusses the most common issues that are associated with cellular mobile communication
systems: coverage area, data rate and capacity, path loss and shadowing, power consumption,
handover process, surveillance and disaster management, and supporting short-term-events.
Extending wireless coverage range to meet the rapid demand for wireless service from
subscribers in different geographical locations underpins wireless communications. A terrestrial
network’s coverage range may range upto few tens of miles depending on area morphology,
transmission power, propagation conditions, traffic distribution, and of course a cell’s layout [2,
11, 12]. Moreover, the coverage area does not only refer to the outdoor environment but also,
indoors. Several approaches have been developed to improve the wireless communication
performance such as Millimetre-Wave [9-11], Multihop Cellular Networks by using Mobile
Relays (MCR-MR) [13], Multiple Input Multiple Output (MIMO) or “spatial multiplexing” [12-
15], device to device (D2D) [14-18], Distributed Antenna Systems (DAS) [4, 19], Cognitive
Radio (CR) [11, 17], Small cells (e.g. Femtocells) [14, 21,22], and cooperative relaying
technology [17, 23]. Yet, delays, security, complexity, immature technology, interference
management, and power consumption are the main challenges that face these cut-edge
technologies.
Cellular network systems are facing a problem of scalability with wireless broadband and
increased usage with applications and services. According to a CISCO study, the monthly global
mobile data traffic is estimated to grow at around 24.3 Exabytes by 2019, which is five times the
current traffic[14]. Therefore, the Third Generation Partnership Project (3GPP) has introduced
Long-Term Evolution (LTE) with MIMO and Long Term Evolution–Advanced (LTE-A)
technologies as a response to enhance capacity, coverage, and provide high data rates [24].
Moreover, fifth-generation (5G) is widely anticipated to offer a data rate that could reach up to 10
GB/s [14]. Furthermore, its heterogeneity infrastructure enables the inclusion of micro, pico, and
femtocells, as well as distributed antennas and relay nodes [24]. However, cell selection and re-
selection, load balancing, cyclic delay diversity, handover management, and data rate increases
lead to increased power consumption; besides the immaturity of 5G technologies are still open
challenges.
The handover or handoff (HO) process makes roaming much more efficient which in turn enables
mobility that underpins wireless communications especially if it is achieved without either service
interruption or user awareness [2, 4]. There are several techniques have been proposed that appear
improvements with the HO process as suggested by the literature, for instance, MCR-MR in [13].

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Timing upper bound, and Margin lower bound in [25], a pre-HO algorithm in [17, 26], and small
cell deployment in [22, 27, 28]. Whilst various challenges remain; these include lack of support
for High-Speed Packet Access (HSPA), Ping-Pong effect, complex estimation process, high
probability for data loss and outage, and inter-cell interference. Topping these are delays due to
the processed of HO authentication and pre-HO, which in turn lead, separately, to a decrease in
QoS [13, 27-30].A major concern associated with wireless communication systems is signal
propagation effects. Signals are prone to a multitude of propagation problems, such as path loss,
shadowing, multipath, non-line of sight (LoS) problems (e.g. reflection, diffraction, refraction,
scattering). These usually lead to attenuation, long-term and short-term fading, which indeed
decrees the signal’s QoS level [2, 9]. Noticeable improvement in network performance can be
drawn from Several approaches that have been proposed (e.g. Suzuki fading model, G- and K-
distributions) to reduce shadowing, and multipath issues [31-33]. Otherwise, several
disadvantages come to the fore, for instance, delay due to routing and relay-node selection. All
considerations exclude an increase in BS complexity and cost.
The number of BSs that have been deployed around the world is predicted to be 11.2 million by
2020, with almost 2.4 times in 2013 [10]. Many researchers indicate that BSs consume
approximately 80% of a cellular system’s total energy [10, 11]. Thus, network operators,
government authorities, and many researchers are motivated to explore more advanced techniques
to achieve energy efficiency for both financial or environmental reasons. The results of many are
optimistic techniques suggest that energy consumption may be reduced by up to 70%, and carbon
dioxide emission will be reduced by an average of 50% [10, 34, 35]. For example, Hybrid Traffic
Prediction in [10], combined ad hoc and cellular technologies (e.g. MCR-MR) in [13], a multi-tier
network with a macrocell overlaid by relays (e.g. femtocells, and D2D) in [13, 36], Cell-on-
Demand, Coop MIMO, Relaying, Radio Resource Management (RRM), and Sleeping mode in
[14, 35]. However, some of these approaches have yield limitations with the routing process,
complexity, co-channel interference increased delay, as well as security [13, 36]. Thus, great
interest from most telecommunications sectors for green innovation uses a mixture of solar, wind,
and fuel cell energy, which could solve some of the power consumption issues, and also
providing energy sources to BSs to isolated areas or difficult geographical terrains.
Whilst terrestrial networks support an enormity of wireless services, they are, nevertheless,
extremely vulnerable to man-made and natural disasters [2, 6]. According to the ITU when a
disaster occurs, the terrestrial telecommunications infrastructure fails are usually due to the
physical destruction of a network, disruption in the supporting network infrastructure and
Network Congestion [37]. The reliability of telecommunication systems during emergency crises
made the difference between life and death in respect of the response of the local authorities,
where it is essential to have a large-scale and robust communication network for broadcasting
instructions to people, seeking rescue aid, as well as providing inter-departmental
communications. Table 1 below summarises the main challenges with terrestrial communications,
as have been discussed above.
Table 1 Challenges with terrestrial communications
Topic Challenges
Energy
High power consumption in BSs
Energy provision in remote areas
Partially environmentally unfriendly, due to high Carbon dioxide
emission for energy production
Coverage
Footprint
Interference management due to, e.g. multi-tier network
Limited coverage area, which depends on the certain issues, e.g. layout
of coverage area, transmission power, propagation conditions

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Handover complexity due to, e.g. small cells
Propagation
model
LOS is mountain or metropolitan areas
Number of obstacles, e.g. buildings, hills, affect terrestrial cell
coverage resulting in shadowing and multipath
QoS QoS levels in coverage area affected by signal attenuation
Higher data volume due to wide range of innovative applications and
services
Reliability
Complexity of essential staged deployment especially in urban areas
During natural disasters (e.g. earthquakes/floods) cellular
communications are vulnerable to failure
Cost
High cost infrastructure to provide wireless services for short-term
large-scale events
Hence, outer space communication systems, such as satellites, LAP, and HAPs have several
advantages over existing terrestrial cellular networks, where authors in [6] list several examples
of space communication systems had successfully established ad-hoc networks for disaster relief.
This is largely due to outer space communication systems covering a wide area, offering
deployment flexibility, forecasting disaster evolution, providing last-mile connectivity, and
affording terminal mobility [38, 39]. Although the number of BSs across the world is anticipated
to rise to 11m by 2020 [10], a BBC report in 2014 claims that many of the world’s poorest people
do not have the means or technology to log on into a network, with just 31% of people in the
developing world using the internet, compared to 77% in the developed countries [40]. Thus,
providing wireless communications services in isolated areas with harsh terrains could be
economically infeasible or physically impossible even with such a huge number of BSs. There
could be several reasons for this, including the supply of power to towers, LoS with other towers,
operation, and maintenance, cost and number of users. Large-scale short-term events taking place
regularly often meet the cost of temporary wireless communication infrastructure. However, outer
space communication systems can serve as the solution for an isolated area with difficult terrains,
or instead of a temporary wireless communication infrastructure [38-40].
3. WIRELESS COMMUNICATIONS: AERIAL SYSTEMS
The Aerial wireless communication system includes both LAPs and HAPs. In 1997 HAP
technology was recognized as stratospheric layer repeaters, according to the WRC No. S1.66A,
placed at an altitude ranging from 17 to 50 km above the ground. Such platforms are of flexible
size since they are usually helium-filled and solar-powered airships and can be used for various
applications and services such as telecommunications, broadcasting, environmental
measurements, surveillance, emergency services, localization and navigation, and e-services. The
ITU has described HAPs as “representing a new and long-anticipated technology that can
revolution of the telecommunication industry”. Further, a HAP’s position in the sky could take
advantage of the strengths of terrestrial and satellite communication systems, whilst avoiding
some of their weaknesses. Depending on the minimum elevation angle, HAPs offer coverage of a
wide service area of around 400 km with a semi-permanent, high data rate and high capacity-
density communications services. HAPs are increasingly seen as an innovative solution to the
last-mile problem [39-43].
On the other hand, the LAPs system has gained significant attention as a key factor for providing
dynamic and scalable networks, using various on-board communication payloads [44]. LAPs can
cover fairly wide areas with a radius of 30 km or more, depending on configuration, and
communication payloads. Indeed, by increasing altitude and/or transmit power of LAPs system

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that leads subsequently to increase the coverage area as well as improve received signal strength
[45]. Also, such a system can sincerely achieve bandwidth demands for first responders. LAPs
system can be typically categorized into two types. The first type is an unmanned airship that flies
in the Troposphere layer up to 5km [6]. The second type is the tethered platforms, which they can
classically function at altitudes of up to 5km; using ultra-strong lightweight tethers, to provide
stationary, power and communications required. Moreover, these kinds of aerostats have been
utilized for many years to operate some functions, such as communications nodes, monitoring
and surveillance, aerial imaging, and security applications [1, 5, 6]. The aerial platform’s position
in the sky could provide many of the satellite advantages, but without the distance penalty.
Furthermore, aerial platforms receivers may experience a better signal quality, as the system
offers LoS communications, hence, less propagation delay about satellite systems. Deploying a
network of aerial platforms in the sky with inter-platform links (IPLs) will swiftly bridge
communication gaps through a soft infrastructure, a fast start-up time, gradual growing, on-
demand capacity assignment, with low capital investment, as well as low ongoing operating costs
[39, 42]. The aerial platforms represent a viable alternative infrastructure for the long-term
provision of broadband access to stationary or mobile users. Also, they are particularly well-
suited for temporary provision of basic or additional capacity requirements, due to their rapid
deployment and control of their flight path. With rapidly changing communication demands, they
provide network flexibility and reconfigurability. In consideration, aerial platforms are suited for
serving remote regions with low user density, short-term large-scale events, and establishment of
ad hoc networks for disaster relief, and also for providing telecommunication services. They offer
several obvious advantages over terrestrial or satellite systems, such as larger coverage area,
higher capacity, lower cost of manufacturing, launch, and maintenance [39, 42]. There have been
several projects around the globe from Europe (e.g. EU HeliNet, European COST Action 297,
British StratSat, ABSOLUTE), North America (e.g. Canadian HALE Platform, Sky stations,
Lockheed Martin), Asia (e.g. Japanese Skynet, Korean ETRI), and international cooperation
across many countries (e.g. CAPANINA, Google's Loon) [45,46].
Fig. 1: The aerial Platform system structure
The aerial platform system requires two main segments: space and a ground segment as seen in
Fig. 1. The space segment consists of at least one unmanned aeronautical platform that carries a
communication payload, integrated solar arrays and fuel cells, and a station-keeping system. The
ground segment has missions of a Ground Control Centre (GCC) is to control an aerial platform’s

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functionality and flight tasks, the link between platform and users, the backhaul link to other
terrestrial or satellite networks, and a large number of roaming subscriber access terminals. The
GCC also controls the number and directions of the generated beams to form the ground cells via
antennas [3,7,8].Various wireless network topologies of the aerial platforms namely standalone,
integrated terrestrial- aerial platforms, and integrated terrestrial- aerial platforms -satellite. The
standalone topology resembles a star configuration and acts as the main hub. Users within such a
topology can communicate with each other, as well as with other users in other networks using
gateways on the ground. Using this topology depends on the QoS requirements, type of
application, and payload, both weight and power consumption, which has its advantages and
applications. On the other hand, the integration between aerial platforms and terrestrial systems
has many advantages, ranging from an increase to capacity demand, to more cellular coverage
area in fourth-generation (4G) and other networks, to endowing terrestrial networks with wireless
communication services. Again, using this topology depends on the purpose of the applications
provided, where some challenges that normally need to be considered include handover,
interference, resource allocation, cell structures, and dynamic channel assignment. Some of these
issues are found common in both HAP and LAP, while others are in one type. The biggest
challenge is station keeping or platform stability due to weather systems results in-service
degradation and in-turn requires increased power consumption to rectify [7-9].
Identifying the optimal altitude and achieving a maximum coverage area is considered in [47-48],
where the authors report a strong correlation between the optimum LAP altitude and other
parameters such as environmental, modulation scheme, path loss, and coverage range. Further,
the propagation models for LAPs technology reported in the literature are based either on Air-To-
Ground (ATG) [47-51] or empirical propagation like Hata in [8, 7, 45]. The ATG models show
an improvement in cell capacity and downlink coverage. However, they also show that
environmental properties, antenna types can affect considerably the LAP capacity. One great
advantage of ATG is that urban NLoS can be modeled without any concerns over building
shapes, heights, and distribution according to Rayleigh’s probability density function.
Recommendations have been raised in [47, 48] about the significance of studying and
investigating various LAP propagation models that can identify the optimum altitude and achieve
maximum coverage area in different rural or urban environments. To note, as far as our concern
free space propagation model is the only one has been considered in HAPs due to the distance
(17-20 km). Frequency band harmonization is essential to avoid harmful interference between the
terrestrial base stations and (temporary) base stations on-board the LAPs. Consideration is given
to the antenna type since omni-directional antennas consume more energy thus limiting frequency
reuse, increasing interference and reducing capacity. For instance, in [51, 52] it is confirmed that
more coverage and less interference could be achieved through directing of both the balloon and
the antenna beam. It has been suggested to consider the use of either smart or multiple antenna
technology to improve performance. Moreover, because of the Alamouti’s scheme MIMO
antenna technology is very similar to smart antenna technology and is one of the most efficient
leading innovations in wireless systems for maximum capacity, improved QoS and coverage
extension range [52, 53, 74]. The effect of MIMO antennas on near-space solar-powered
platforms performance and capacity is discussed in [54-56], where it is argued that the antenna
gain has to be optimized, otherwise, user ends will experience weak radio across a distance of
many miles. Furthermore, anisotropic antenna type is considered in [47], whereas in [48] an
electronically switched beam antenna is deployed that is capable of steering the RF power to and
from a certain direction, which can mitigate interference on LAP coverage zones. In [48] a smart
antenna is suggested to enhance results. An open issue in wireless communication systems is
signal propagation effects (e.g. path loss, shadowing, multipath, reflection, or scattering), still
without any complete solving, due to nature of how the RF propagate. Some of these issues can
be reduced using a smart antenna or MIMO technology or proper RF modeling in some specific
areas. Yet, tailoring and adaptation of channel assignment and resource allocation are affected by

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applications with QoS requirements such as multimedia. The ITU’s International Mobile
Telecommunications-Advanced (IMT-Advanced) standard for 4G offers access to various
telecommunication services and supports mobile applications for heterogeneous wireless
environments that offer high data rates to user and service requirements. As such, it can support
the performance and high QoS requirements for multimedia applications. The ITU has considered
two technologies that met the criteria of the standard: LTE-A, and IEEE 802.16m-2011
Worldwide Interoperability for Microwave Access (WiMAX 2) [57-59]. Both WiMAX and LTE
assume an all-IP network approach, use Orthogonal Frequency-Division Multiple Access
(OFDMA) in the downlink (DL), support Time-Division Duplex (TDD) and Frequency-Division
Duplex (FDD), support different bandwidths, use smart antenna and MIMO technology, provide
QoS support, use similar modulation techniques such as Quadrature Phase Shift Keying (QPSK)
and Quadrature amplitude modulation (QAM) 16QAM, 64QAM in both the DL and uplink (UL).
However, they are quite different in their evolution, frequency bands, industry support, and
deployment models. The peak data rate in LTE advance (release 12 and 13) is 1 Gbps in DL, and
500 Mbps in UL, with a coverage range of up to 100km. WiMAX release 2 can offer peak data
rates of 350 Mbps in the DL, and 200 Mbps in the UL with a coverage range of up to 50km. LTE
technology seems better than WiMAX in terms of data rate and coverage range and, as a
consequence, it has been deployed more widely than WiMAX.
An aerial platform technology, whether HAP or LAP, both WiMAX and LTE have performed
well and suggested as good candidates for better coverage whether in LoS or NLoS, increased
capacity and less interference [59-63]. However, opinions and decisions vary. For instance,
ABSOLUTE is one of the most important LAP project worldwide that deploy LTE in its
specifications [50, 60]. [62, 64] deploy WiMAX technology in their designs for cost-
effectiveness. In [63] the authors emphasize the advantages of deploying WiMAX over LTE-A in
supporting military operations in disaster relief environments where users’ requirements change
rapidly. On the other hand, WiFi has its own advantages and applications but it suffers from
interference, as transmission power levels affect coverage in contrast to a tethered balloon where
power can be supplied via a cable [47, 59, 64]. Rain attenuation and scattering affect a HAP’s
high frequencies bands (e.g. 47/48 GHz and 28 GHz). While in LAPs. Table 2 below summarises
the main challenges with aerial platform communications, as have been discussed above.
Table 2 Challenges with aerial platform communications
Topic Challenges
Energy
Platform stability due to weather systems results in QoS degradation, which in
turn requires increased power consumption to rectify
Minimize weight of solar panels
Coverage
Footprint
Trade-off between low elevation angles, path loss, coverage
Propagatio
n model
Suffers from the lack of investigating various propagation models
QoS
Lack of legalization for high frequencies bands (e.g. 47/48 GHz), yet
Still rain attenuation and scattering affects performance when using more rain
attenuation and scattering affects performance
Reliability
Platform stability due to wind is the main challenge especially for lower
altitudes
Considering optical inter-platform links is an open challenge due to stability
Cost
Deep business analysis is required to understand the market potential for some
cases

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4. WIRELESS COMMUNICATIONS: SATELLITE SYSTEMS
Satellite communication systems are radio relay stations that orbit at different altitudes in space.
The high altitude affords them a very large coverage area, thus making them capable of providing
a variety of different communication applications and services, such as TV and radio
broadcasting, mobile communications, navigation, military services, disaster relief management,
and weather forecasting. Users who are separated geographically may get the advantage of using
a satellite system, which becomes a star node to them. The alternative, i.e. terrestrial
communication systems, has an infrastructure complexity as a result of needing one or more
connection to BSs, antennas, switches, location registers and much more. A basic satellite system
structure comprises of space and ground segments. One space segment consists of a single
platform with its payload and receiving and transmitting antennas to support transmission.
Satellites may be connected by either optical or radio links. On the ground segment there are
several, types of stations such as gateways and terminals for broadcast service, TT&C which
controls a satellite’s functions and conditions from the ground, as well as stationary and mobile
communications [1, 3, 38, 65].
Satellite communications services can be broadly classified into three classes according to the
ITU, which is: Fixed Satellite Services (FSS), Broadcast Satellite Services (BSS), and Mobile
Satellite Services (MSS). The FSS provides a radio-communication service between stationary
earth stations and one or more satellites orbiting earth. This service may also include feeder links
for other space radio communication services. The BSS provides a direct individual and
community radio-communication service between space stations and the general public that have
a ground satellite antenna. MSS provides a radio-communication service either between mobile
earth stations and one or more satellites orbiting earth or between the satellites or mobile earth
stations using this service. Satellites are categorized according to their orbital altitude in relation
to the Van Allen ionosphere radiation belts. A belt may affect a satellite’s lifetime due to
radiation levels, which in turn may influence the choice of orbital altitude that may suit a satellite.
Satellites can also be classified according to their orbital planes (equatorial 0 /90 Incline), or even
classified according to their orbital shape (circular or elliptical). The four types of satellites based
on their orbital altitude and shape are as follow Geostationary Orbit (GEO) at an orbital altitude
around 36,000km over the earth’s equator in a circular orbit. Medium Earth Orbit (MEO) at
orbital altitudes between 10,000 and 12,000km over the earth’s equator in a circular orbit. Low
Earth Orbit (LEO) at orbital altitudes between 750 and 1,500km over the earth’s equator in a
circular orbit. Highly Elliptical Orbit (HEO) at apogee altitude around 35,000km over the earth’s
equator in an elliptical orbit [3, 65-68].
The distance between GEO satellites and earth’s surface is nearly
1
10
of the distance to the Moon,
and that leads a single satellite covers
1
3
of the earth apart from the Polar Regions. However, such
a long distance requires extremely high transmission power, which would not be suitable for all
types of mobile phones. Hence, designing GEO satellites involve a trade-off between higher
transmission signal power and enormous onboard antennas to deal with narrow beams. The signal
which takes approximately a quarter of a second for a round trip to and from a satellite because of
the distance would lead to increase path loss between a satellite and ground antennas, and a short
but noticeable propagation delay. This becomes a disadvantage in terms of voice and data
communications. A GEO’s low elevation angle for an earth latitude of more than500
often results
in greater multipath and atmospheric path losses, in addition to shadow fading. A GEO has a life
expectancy of 15 years, yet it would be impossible to carry out any repairs despite the global
GEO usage stands at around 41%, as can be seen in the study conducted in 2015. The process of
handover is not feasible with GEOs, as its visibility time with an earth station is almost 24 hours.
Thus, neither the earth station nor the user terminals need to track the satellite, as it is clearly

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stationary on a fixed point to the earth. Moreover, the size of satellites in GEO orbit varies
between 3 and 6 tones. This raises both the operational complexity and the cost of launching such
a satellite to travel such a long distance. Many environmental and health organizations have
systematically voiced their opposition to the launch of satellites which although it only lasts a few
minutes to reach outside the earth’s atmosphere, it, nevertheless, causes serious environmental
damage due to gas emission, they argue [3, 65-69].
Nearly a dozen MEO satellites are needed to cover the entire globe. MEO satellites have a shorter
lifetime than GEOs, around 8 years long, due to a variety of reasons. For instance, MEOs
complete their orbit around the world every 2-8 hours, often de-orbiting within their positions,
which in turn leads to higher power consumption than GEOs and indeed less lifetime. MEOs are
closer to earth than GEOs which results in lower path losses and transmission delay than GEOs.
However, the strength of the received signal could be affected, because of the range and elevation
angle inconsistency. Further, MEO satellite needs to be part of a set of MEO satellites, in order to
cover the entire globe, this is in contrast to a GEO satellite that can function stand alone as a
network offering a wide regional coverage footprint. MEO satellites offer GPS services among
others. As a result, the cost and complexity of ground antennas are much higher than that of GEO
satellites, as they need to track a minimum number from the set of orbiting MEO satellites in
order to provide the full range of GPS services for both stationary and mobile terminals. MEOs
move asynchronously relative to the earth and combined that with average user movement on
earth requires complex network architecture: such as handover process, ISL, Doppler shift,
resource management, and routing issues. In order to reduce the network and HO complexity, an
optimum multi-beam coverage mode has been suggested, which yet requires complex smart
antennas and increased power consumption. Although MEOs orbit at a low altitude, they face the
Van Allen belt’s radiation exposure, which affects the on-board electronic components.
Deployment of MEO satellites in a space segment, is also challenging, as it is time-consuming,
due to the large number that needs to be deployed, as well as the resulting distributed network
structure [2, 65-70].
LEOs cover a smaller area compared to GEO and MEO satellites. At such an altitude a
constellation of satellites, not less than 50, is required for continuous operation to cover the entire
globe. That means more LEO satellites need to be deployed than GEO and MEO together. This
leads to higher costs and operational and deployment complexity with more satellites on standby,
more launches, and a more complicated TT&C control system. Moreover, high gain antennas in
the ground would not be sufficient to be frequently directed towards the LEO satellites, as the
satellites complete an orbit around the globe between every 10 to 40 Minutes. LEOs experience
lower signal propagation delays and free-space path loss than GEO and MEO satellites. Orbiting
at an altitude of up to 1500km, LEO satellites experience other detrimental effects that
subsequently shorten their life to about 7 years: de-orbiting, atmospheric drag, solar radiation
pressure, and the Earth’s gravitational field, which has a strong pull on LEO satellites.
Additionally, LEO experience the Van Allen belt radiation exposure, which shortens considerably
the life expectancy of on-board electronic equipment. Despite the broad range of applications,
they support, LEOs move asynchronously relative to the earth and combined with average user
movement on ground requires a more complex network architecture than that of the GEO and
MEO satellites. HEO satellites are used primarily for spying, science photography of celestial
bodies far out in space, with transmission when close to the earth. HEOs are not suitable for
global coverage on their own as the transmission delays can be far greater than GEO satellites.
HEOs are mainly used to cover the Polar Regions, e.g. Russian Molniya/Orbita [2, 65-70].
To sum up, there are several advantages with satellite communications in comparison with
terrestrial, for instance, global coverage area, broadcast and multicast multimedia services,
Internet services to users on trains, ships, and airships, scalable and reconfigurable for use on

121
temporary geographical sites, mobile applications, or in case of emergency and disaster situations
and as a last-mile solution, with unique LOS advantage. Technological advancement in industrial
satellite systems is widely aimed at reducing their cost and size, increasing mission lifetime, and
enhancing QoS. Therefore, satellite systems are not without challenges; for instance, propagation
delay, handover complexity, high power consumption and cost, environmental issues with their
high gas emissions during satellite launches, as well as signals have no regard for geographical or
political boundaries, which in some cases might be a desirable feature but, in some cases, might
not. In addition, there are several other important issues such as energy consumption,
transmission delay, complexity and cost of (launching and tracking), attenuation, HO process, and
a variety of environmental issues. Propagation signal delay (latency) describes the length of time
that takes for the satellite to communicate with ground stations. Latency derives from several
factors, most importantly, the huge distance between a satellite that needs to send a signal to a
ground receiver. GEO satellites, which are located at around 36,000 km above ground, so 250
milliseconds exemplify this. The number is quite small, but it causes an echo over telephone
connections and low QoS for TCP connectivity.
Moreover, for MEO, LEO satellites the signal delay is much less than that of GEOs. Satellites in
MEO and LEO orbits are moving around the world to provide global coverage. De-orbiting
within their positions, atmospheric drag, solar radiation pressure, and Earth’s gravitational pull,
often lead to a shorter satellite lifetime. The atmospheric features such as blockage, fading and
shadowing due to the huge distances often raise dynamically-varying characteristics for the
satellite channels. Thus, certain considerations like diversity, retransmission, adaptive
modulation, link margins, and network coding need to be taken into account to obtain a more
reliable channel. Moreover, Rain fade forces satellite systems to drop frequency usage over 30
GHz to the lower frequency of the L and C bands. Whilst higher frequency bands offer access to
wider bandwidths, this makes a channel more vulnerable to signal degradation, as radio signals
get affected by rain fade [3, 65-70].The higher frequency bands provide access to the wider
bandwidths and are vulnerable to signal degradation, as radio signals get absorbed by atmospheric
rain, snow or ice (rain fade). Hence, these frequency bands are more suitable for certain
geographical regions, such as countries in Africa or Middle-east, which experience less annual
rainfall than Europe or East Asia. Relevant research investigates how to utilize these higher
frequency bands. The lower frequency bands, on the other hand, are gradually being used up.
Satellites are undeniably expensive. From construction to balancing the trade-off between antenna
size and signal power to launch into space to maintenance in an environment hostile to sustaining
human life, the cost rises exponentially. Often the cost of carrying out major repairs is not cost-
effective unlike HAPs [3, 38, 65-70]. Table 3 below summarises the main challenges with
satellite communications, as have been discussed above.
Table 3 Challenges with satellites communications
Topic Challenges
Energy
GEOs require high levels of transmission power that is unsuitable for mobile
phones
Environmental damage resulting from gas emissions during launch
Coverage
Footprint
De-orbiting is essential for MEO and LEO leading to high power consumption
and complex handover
HEO Not suitable for global coverage by its own, transmission delay can be
greater than GEO satellites
Propagation
model
Considerable propagation delay (GEO, MEO) in compared to terrestrial and
Aerial platforms
Space path loss, due to the huge distance
QoS Bandwidth steadily being used up

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Complex TTC control and HO processes with MEOs and LEOs compared to
GEOs
Reliability
De-orbiting, atmospheric dragging, solar radiation pressure, gravitational pull
shorten satellite lifetime (MEO,LEO)
Van Allen belt radiation shortens MEO and LEO satellite lifetime
Maintenance whilst in orbit may not be humanly feasible or economically
impossible
Cost
Operational complexity and cost of MEO and LEO ground antennas much
higher than GEO
Operational complexity and cost of launch are high
5. OPEN CHANLLENGES
As have been mentioned, this paper is focused on terrestrial-aerial platforms- satellite wireless
communications systems includes their characteristics and unravelling challenges. This section
highlights open research issues that can be considered for further research work.
5.1 Power Consumption
In BSs power consumption and energy provision in remote areas are challenging, especially
where more time is needed for renewable energy to be widely deployed. From aerial platforms
side, station keeping or platform stability due to weather systems results in QoS degradation (e.g.
handover process, complexity for optical inter-platform-link (IPL), which in turn requires
increased power consumption to rectify. Further, power consumption has a negative correlation to
its endurance time in space, which is again a mechanical challenge that is related to maximum
communication and powering payloads. Satellites suffer high power consumption due to the huge
distance, and deorbiting, which results in shorten satellites lifetime.
5.2 Frequency band
In terrestrial systems, lower frequency bands compare with space-based wireless systems, which
leads to higher data volume demand due to the wide range of innovative applications and
services. Where asaerial platforms facilitate high frequencies bands (e.g. 47/48 GHz and 28
GHz), yet more rain attenuation and scattering affect performance. Further, bandwidth in
satellites are steadily being used up, besides high-frequency band or optical space
communications suffer from the absorption and rain attenuation. For all wireless communication
systems, advanced interference mitigation techniques are always needed.
5.3 Handover
In terrestrials and aerial platforms, handover and interferences management are quite complex
due to small cell technology, and multi-tier networks, which aim to increase multiple spot beams
over a coverage area to sustain frequency reuse. On the other hand, handover in satellites is
existed in MEOs and LEOs due to the movements, but less complex than other systems due to
beam forming large cells.
5.4 Cost effeteness
In the terrestrial system, the complexity of essential staged deployment especially in urban areas,
and high-cost infrastructure to provide wireless communications for short-term large- scale
events. Whereas in aerial platforms partial testing and trial abilities limit the completeness results
to evaluate a complete system composed of several aerial platforms, which due to high
implementation cost. Thus, deep business analysis is required to understand the market potential

123
of aerial platforms compared to satellite and terrestrial networks. Satellite system shows high
operational complexity of manufacturing, launching, and TTC control, besides the environmental
damage resulting from gas emissions during launch.
5.5 QOS
QoS levels of the terrestrial system are affected by signal attenuation. In and Satellites, tailoring
and adaptation of channel assignment and resource allocation resulting from either movement
and/or distance are affected by applications with QoS requirements such as multimedia.
5.6 Propagation conditions
Limitation of coverage area in terrestrial systems is linked directly to certain issues, e.g. layout of
covered area, transmission power, propagation conditions, and lack of LoS in metropolitan areas
due to the number of obstacles that affect terrestrial cell coverage resulting shadowing and
multipath. However, Satellites and aerial platforms have an advantage of more LoS. But the
former suffers from the lack of studying and investigating various propagation models, where
many recommendations are raised about the significance of that. The latter suffers from
propagation delay, space path loss due to the huge distance.
Altitude and coverage, propagation and performance, link budget analysis, power supply
constraints, deployment and maintenance challenges, reliability on special events or disaster
relief, cost-effectiveness and environmental impact all these are parameters that will be compared
and contrasted in the following Table 4 shows comprehensive comparison between the terrestrial,
aerial platforms, and satellite systems based on the literature review that been highlighted
throughout this paper. [1-73].
Table 4: Comprehensive Comparison between terrestrial, aerial platforms, and satellite systems
Issue Terrestrial Aerial Platform Satellite
Power
consumption
High Low Low
Power supply Electricity
Fuel, propellers, Solar
panels
Solar panels
Altitude
above
ground
Up to 250m 0.1-20km 750-36000km
Capacity
Low, due to attenuation
by terrain and/or
obstacles
High, due to low
altitude, so low
attenuation and delay
Low in especially
GEOs, due to large
path loss by high
altitude
Frequency
band
Few GHz
1,2,4,6,12-18,27-40
GHz
1,2,4,6,12-18,27-40
GHz
Coverage Land and coastline Land and sea Land and sea
Geographical
coverage
Few km per BS
Up to 400 km per
Platform
GEO: Large regions
MEO/LEO: Global
>500km
Propagation
delay
Varies Very low GEO/MEO: High
Cell diameter 100m-2km 0.5-10 km 50-500km
Lifetime Long term Up to 5 years up to 15 years
Deployment
timing
In stages
Minimum of one
platform/ground station
MEO/LEO: In stages
GEO: 1 stand-alone
Indoor Substantial Substantial Complex

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reception
RF channel
quality
Good signal quality
with appropriate
antenna placement,
Rayleigh fading
Free-space channel
Free-space channel,
distance limits
spectrum efficiency,
Ricean fading, path
loss
HO
complexity
High Low Medium
Complexity Operating in rural areas
Facing wind / Re-
fueling
Complex MEOs and
LEOs movement
Shadowing
from terrains
Causes gaps in
coverage;
needs additional
equipment
Problem only at low
elevation angles
Problem only at low
elevation angles
Elevation
angles
Low Medium High
Path loss
model
Non-Free Space Loss
(NFSL)
FSL and other
empirical models
FSL
Disaster
relief
Vulnerable to disasters
Quick and Easy service
provision
Service provision
6. NETWORK ARCHITECTURE AND DISCUSSION
There are many sites worldwide embrace short-term, large-scale high-density populated events
such as sports activities, cultural activities, and religion events (e.g. pilgrimage), which need the
immediate and movable wireless systems. Equally, it should meet the cost of temporary wireless
communication infrastructure. Further, the reliability of telecommunication systems during
emergency crises made the difference between life and death in respect of the response of the
local authorities, where it is essential to have a large-scale and robust communication the network
for broadcasting instructions to people, seeking rescue aid, as well as providing inter-
departmental communications. Fig.2 shows network architecture of the terrestrial, aerial
platforms (LAP, and HAP), and satellite systems. Each system provides different coverage that
suite its altitude, and delivers the best performance possible of wireless communication services
to short-term, large-scale (temporary) events.

125
Fig.2: Proposed Network Architecture
6.1 Implementation and Simulation Parameters
Designing an efficient network and check its performance is a critical task, thus it is rational to
consider a simulator. For this network, Optimized Network Engineering Tool (OPNET) Modeller
is considered which can provide different levels of modelling depending on the necessities and
requirements of simulation. The proposed model aims to develop several network scenarios to
assess and analyse thenetwork performance of terrestrial, LAP, HAP, and satellites, respectively,
with their communication WiMAX payload. Fig.3 shows the OPNET simulator of WiMAX
network diagram with 10000 mobile nodes. Based on the above discussion and comparison, the
selected wireless communication systems will be evaluated with respect to parameters
includes:End-to-end delay, jitter, Mean Opinion Score (MOS), and Throughput. Evaluating these
parameters can help in Ad hoc network planning, and assessing QoS requirements using free-
space propagation model for all architecture Systems (terrestrial, LAP, HAP, and Satellite).
TABLE 5 shows the simulation parameters that relate to antenna specifications, as well as
OPNET simulator parameters.

126
Fig.3: OPNET simulator of WiMAX network with mobile nodes
Table 5: Simulation Parameters
Parameters Value
Frequency band for Terrestrial, LAP/HAP [GHz] 3.5
Frequency band for Satellite [GHz] 3.7
Network size [𝑘𝑚2
] 15
Mobility model Random
Bandwidth (MHz) 20
Duplex Technique TDD
Modulation Technique Adaptive
Fading Model Rayleigh Fading
Multipath Channel Model ITU Vehicular A
Simulation time [Seconds] 1000
Transmitter side
Maximum Transmitter Power [dBm] 40
Transmitter Antenna Gain [dBi] 17
Diversity gain [dBi] 6
Transmitter Rx Sensitivity [dBm] -89
Interference margin loss [dB] 3
Connector loss [dB] 0.3
Fading margin [dB] 6
Terrestrial Base Station altitude [km] 0.05
LAP altitude [km] 5
HAP altitude [km] 20

127
Satellite altitude [km] 800
Receiver side
Maximum Receiver Power [dBm] 27
Receiver Antenna Gain [dBi] (stations) 15
Receiver Antenna Gain [dBi] (handset) 3
Diversity gain [dBi] 3
Receiver Rx Sensitivity [dBm] -91
Interference margin loss [dB] 3
Connector loss [dB] 0.1
Body loss [dB] 0.1
6.2 Simulation Results and Discussion
In this subsection, VoIP over mobile WiMAX network is analysed and discussed. Several
simulation runs have been performed for each wireless system to measure delay, jitter, MOS, and
throughput using the OPNET Modeller simulation tool, as following fig.5 to fig.8 show.
Evaluating these parameters can help in Ad hoc network planning, and assessing QoS
requirements using free-space propagation model for all architecture Systems (terrestrial, LAP,
HAP, and Satellite).
Fig.5: End to end delay using OPNET tool

128
Fig.6: Jitter using OPNET tool
Fig.7: MOS Value using OPNET tool

129
Fig.8: Throughput using OPNET tool
From figures5-8 that exported from OPNET Modeller simulator show the average performance of
VoIP QoS in WiMAX networks for the four different scenarios (terrestrial, LAP, HAP, and
Satellite). Fig.5 shows end to end delay which gradual increases for all systems. Terrestrial
system shows the highest value of delay, whereas space-based systems especially LAP
experience better performance due to short distance. Fig.6 represents the jitter performance of the
four wireless systems, which can be considered as the end-to-end delay variation between two
consecutive packets. It is quite clear the average jitter values increase linearly with time. Again,
the Terrestrial system shows the highest value, while LAP displays the lowest with a 40%
difference. Fig.7 shows the MOS value which is a telecommunication performance indicator that
measures the quality of voice and video, where often judged on a scale of 1 (bad) to 5 (excellent).
All systems show reasonable MOS values, the however terrestrial system shows the lowest value,
while LAP displays the best performance. Fig.8 illustrates the throughput simulation results of the
four systems, which represents the amount of the number of packets effectively transferred in a
network. LAP system registers as the highest throughput, while terrestrial the lowest. Clearly,
from the simulation results that space-based systems especially LAP experience better
performance, while terrestrial is the lowest. There are many reasons for this, space-based systems
have always better LoS connectivity; second, due to using frequency recues space-based systems
can accommodate more users in their large footprint coverage; third, the terrestrial system
sometimes suffers from multipath and shadowing issues. On the other hand, observing the
comparison tables 1 to 4 it evident that space-based systems especially aerial platforms
technology (HAP and LAP) has advantages over both terrestrial and satellite systems with fewer
limitations. Therefore, to establish an ad hoc but robust wireless communication service for short-
term, large-scale high-density populated can be delivered by relaying on aerial platforms
technology. This considers as an efficient and cost-effective solution for such events including
emergency crises, where it is essential to have a large-scale and robust communication network
for broadcasting instructions to people, seeking rescue aid, as well as providing inter-
departmental communications.

130
7. CONCLUSION AND FUTURE WORK
This paper highlights a comprehensive study on terrestrial-aerial platforms (HAP/LAP)- satellite
wireless communications systems, includes some of their characteristics and unravelling
challenges with deep analysis in the literature. Then, VoIP QoS is analysed over mobile WiMAX
networks using the OPNET Modeller simulation tool from a temporary events perspective for the
selected wireless communications systems. Both comparative studies drawn from the literature
review and simulation results emphasize that aerial platforms technology (HAP, and LAP)
outperform terrestrial and satellite systems in many aspects, include rapid deployment, large
coverage, low altitude with no significant delays or loss, providing line of sight connectivity,
environmentally-friendly. Such technology can present a low-cost solution in response to short-
term large-scale events include emergency events. Aerial platforms clearly holds the promise to
swiftly bridge the coverage gaps in such events with the best scenario possible. As future work,
considering an optimized indoor-outdoor propagation model may help include and fine-tune
environmental considerations.
REFERENCES
[1] M. Mozaffari, W. Saad, M. Bennis, Y. Nam And M. Debbah, "A Tutorial On Uavs For Wireless
Networks: Applications, Challenges, And Open Problems", Ieee Communications Surveys &
Tutorials, Pp. 1-1, 2019.
[2] K. Du And M. Swamy, Wireless Communication Systems. Cambridge, Uk: Cambridge University
Press, 2018.
[3] F. A. Almalki, M. C. Angelides, “Considering Near Space Platforms To Close The Coverage Gap In
Wireless Communications; The Case Of The Kingdom Of Saudi Arabia,” Ftc 2016 San Francisco -
Future Technologies Conference, 2016, Pp.224 – 230.
[4] R. Frenkiel And M. Schwartz, 'Creating Cellular: A History Of The Amps Project (1971-1983)
History Of Communications', Ieee Communications Magazine, Vol. 48, No. 9, Pp. 14-24, 2015.
[5] Mobile Phones, Tv, Internet And Home Phone Service | Bell Canada', [Online]. Available:
Http://Www.Bell.Ca/. [Accessed: 22- Feb- 2019].
[6] W. Yu, H. Xu, J. Nguyen, E. Blasch, A. Hematian And W. Gao, "Survey Of Public Safety
Communications: User-Side And Network-Side Solutions And Future Directions", Ieee Access, Vol.
6, No. 1, Pp. 70397-70425, 2018.
[7] S. H. Alsamhi, M. S. Ansari, O. Ma, F. Almalki, And S. K. Gupta, “Tethered Balloon Technology In
Design Solutions For Rescue And Relief Team Emergency Communication Services,” Disaster
Medicine And Public Health Preparedness, Pp. 1–8, May 2018.
[8] F. A. Almalki, M. C. Angelides, “Empirical Evolution Of A Propagation Model For Low Altitude
Platforms,” Ieeecomputing Conference 2017, 2017, Pp.1297–1304.
[9] Rangan, T. S. Rappaport, And E. Erkip, ‘Millimeter-Wave Cellular Wireless Networks: Potentials
And Challenges’, Proceedings Of The Ieee, Vol. 102, No. 3, Pp. 366–385, Jan. 2014.
[10] S. Dawoud, A. Uzun, S. Gondor, And A. Kupper, “Optimizing The Power Consumption Of Mobile
Networks Based On Traffic Prediction,” Ieee 38th Annu. Comput. Softw. Appl. Conf., 2014, Pp.
279–288.
[11] U. B. Antonio Capone Ilario Filippini Bernd Gloss, “Rethinking Cellular System Architecture For
Breaking Current Energy Efficiency Limits,” Sustain. Ieee Internet Ict Sustain. (Sustainit), 2012,
Pp.1-5.
[12] S. Chen And J. Zhao, ‘The Requirements, Challenges, And Technologies For 5g Of Terrestrial
Mobile Telecommunication’, Ieee Communications Magazine, Vol. 52, No. 5, Pp. 36–43, Jan. 2014.
[13] J. Gozalvez And B. Coll-Perales, ‘Experimental Evaluation Of Multihop Cellular Networks Using
Mobile Relays’, Ieee Communications Magazine, Vol. 51, No. 7, Pp. 122–129, Jan. 2013.
[14] A. A. Ekram Hossain, Mehdi Rasti, Hina Tabassum, “Evolution Toward 5g Multi -Tier Cellular
Wireless Networks : An Interference Management Perspective,” Ieee Wirel. Commun., Pp. 118–127,
2014.

131
[15] M. Di Renzo, H. Haas, A. Ghrayeb, S. Sugiura, And L. Hanzo, ‘Spatial Modulation For Generalized
Mimo: Challenges, Opportunities, And Implementation’, Proceedings Of The Ieee, Vol. 102, No. 1,
Pp. 56–103, Jan. 2014.
[16] L. Wei, R. Hu, Y. Qian, And G. Wu, ‘Enable Device-To-Device Communications Underlaying
Cellular Networks: Challenges And Research Aspects’, Ieee Communications Magazine, Vol. 52, No.
6, Pp. 90–96, Jan. 2014.
[17] F. Ghavimi And H.-H. Chen, “M2m Communications In 3gpp Lte/Lte-A Networks: Architectures,
Service Requirements, Challenges And Applications,” Ieee Commun. Surv. Tutorials, Vol. 17, No.
12, Pp. 1–1, 2014.
[18] T. Han And N. Ansari, ‘’Powering Mobile Networks With Green Energy’’, Ieee Wireless
Communications, Vol. 21, No. 1, Pp. 90–96, Jan. 2014.
[19] M. Bennis And M. Latva-Aho With Carlos H. M. De Lima, ‘Modeling And Analysis Of Handover
Failure Probability In Small Cell Networks’, Ieee Conference On Computer Communications
Workshops, 2014, Pp.736 – 741.
[20] J. Cole, F. A. Almalki, And P. R. Young, "Chipless Rf Liquid Sensor," Ieee International Microwave
And Rf Conference (Imarc), 2015, Pp. 243 – 245.
[21] R. Razavi, D. Lopez-Perez, And H. Claussen, “Neighbour Cell List Management In Wireless
Heterogeneous Networks,” 2013 Ieee Wireless Communications And Networking Conference
(Wcnc): Networks, 2013, Pp. 1220–1225.
[22] Y. Zhuang, S. Zhao, And X. Zhu, ‘A New Handover Mechanism For Femtocell-To-Femtocell’,
International Conference On Wireless Communications And Signal Processing (Wcsp), 2012, Pp.1-4.
[23] M. Xia And S. Aissa, ‘Underlay Cooperative Of Relaying In Cellular Networks: Performance And
Challenges’, Ieee Communications Magazine, Vol. 51, No. 12, Pp. 170–176, Jan. 2013.
[24] J. Cao, Maode, H. Li, Y. Zhang, And Z. Luo, ‘A Survey On Security Aspects For Lte And Lte-A
Networks’, Ieee Communications Surveys & Tutorials, Vol. 16, No. 1, Pp. 283–302, Jan. 2014.
[25] G. Hu, A. Huang, R. He, B. Ai, And Z. Chen, ‘Theory Analysis Of The Handover Challenge In
Express Train Access Networks (Etan)’, China Communications, Vol. 11, No. 7, Pp. 92–98, Jan.
2014.
[26] G. Sharma, ‘Performance Evaluation Of Wireless Multipath/Shadowed G-Distributed Channel’,
Journal Of Engineering And Technology Research, Vol. 5, No. 5, Pp. 139–148, Jan. 2013.
[27] Y.-H. Wang, G.-R. Huang, And Y.-C. Tung, ‘A Handover Prediction Mechanism Based On Lte-A Ue
History Information’, Ieee Conference On Computer, Information And Telecommunication Systems,
2014, Pp. 167 – 172.
[28] J. Xu, Y. Zhao, And X. Zhu, ‘Mobility Model Based Handover Algorithm In Lte-Advanced’,
Ieee10th International Conference On Natural Computation, 2014, Pp. 230 – 234.
[29] U. Dampage And C. B. Wavegedara, ‘A Low-Latency And Energy Efficient Forward Handover
Scheme For Lte-Femtocell Networks’, Ieee 8th International Conference On Industrial And
Information Systems, 2013, Pp. 53 – 58.
[30] A. Ahmed, L. M. Boulahia, And D. Gaiti, ‘Enabling Vertical Handover Decisions In Heterogeneous
Wireless Networks: A State-Of-The-Art And A Classification’, Ieee Communications Surveys &
Tutorials, Vol. 16, No. 2, Pp. 776–811, Jan. 2014.
[31] G. N. Kamga, K. B. Fredj, And S. Aissa, ‘Multihop Cognitive Relaying Over Composite
Multipath/Shadowing Channels’, Ieee Transactions On Vehicular Technology, Pp. 1–5, Jan. 2014.
[32] P. S. Bithas And T. Rontogiannis, ‘Mobile Communication Systems In The Presence Of
Fading/Shadowing, Noise And Interference’, Ieee Transactions On Communications, Pp. 1–13, Jan.
2015.
[33] A. Laourine, M.-S. Alouini, S. Affes, And A. Stephenne, ‘On The Performance Analysis Of
Composite Multipath /Shadowing Channels Using The G-Distribution’, Ieee Conference On
Communications, 2008, Pp. 1162 – 1170.
[34] L. C. Wang And S. Rangapillai, “A Survey On Green 5g Cellular Networks,” Ieeeinternational
Conference On Signal Processing And Communications (Spcom), 2012, Pp.1-5.
[35] P. Nema, ‘Nobel Approach Of Power Feeding For Cellular Mobile Telephony Base Station Site:
Hybrid Energy System’, International Journal Of Energy And Power Engineering, Vol. 3, No. 6, Pp.
7–14, Nov. 2014.
[36] S. Khan And J. L. Mauri, Security For Multihop Wireless Networks. United States: Crc Press Inc,
2014.

132
[37] International Telecommunication Union (Itu), 'Utilization Of Telecommunications/Icts For Disaster
Preparedness, Mitigation And Response', 2014. [Online]. Available:
Http://Www.Itu.Int/Dms_Pub/Itu-D/Opb/Stg/D-Stg-Sg02.22.1-2014-Pdf-E.Pdf. [Accessed: 28- Feb-
2015].
[38] A. K. Maini And V. Agrawal, Satellite Technology Principles And Applications. Third Edition.
United Kingdom: Wiley, John & Sons, Incorporated, 2014.
[39] D. Grace And M. Mohorcic, Broadband Communications Via High-Altitude Platforms. United
Kingdom: Wiley-Blackwell (An Imprint Of John Wiley & Sons Ltd), 2010.
[40] R. Nuwer, ‘The Last Places On Earth Without The Internet’, Bbc, Nov. 2014. [Online]. Available:
Http://Www.Bbc.Com/Future/Story/20140214-The-Last-Places-Without-Internet. [Accessed: 28-
Mar-2015].
[41] ‘Itu’, International Telecommunication Union. [Online]. Available:
Http://Www.Itu.Int/Newsarchive/Press/Wrc97/Skystation.Html. [Accessed: 27-Jan-2015].
[42] A. G. Flattie, ‘Integrated Satellite- Aps-Terrestrial System For Umts And Lte Network’, 2nd
International Conference On Emerging Trends In Engineering And Technology (Icetet’2014), 2014,
Pp.53-59.
[43] S. Hadiwardoyo, C. Calafate, J. Cano, Y. Ji, E. Hernandez-Orallo And P. Manzoni, "3d Simulation
Modeling Of Uav-To-Car Communications", Ieee Access, Vol. 7, Pp. 8808-8823, 2019.
[44] S. Alsamhi, O. Ma, M. Ansari And F. Almalki, "Survey On Collaborative Smart Drones And Internet
Of Things For Improving Smartness Of Smart Cities", Ieee Access, Pp. 1-29, 2019.
[45] S. A. Khaleefa, S. H. Alsamhi, And N. S. Rajput, ‘Tethered Balloon Technology For
Telecommunication, Coverage And Path Loss’, Ieee Students’ Conference On Electrical, Electronics
And Computer Science, 2014, Pp.1-4.
[46] F. A. Almalki, M. C. Angelides, “Evolution Of An Optimal Propagation Model For The Last Mile
With Low Altitude Platforms Using Machine Learning”, Elsevier Computer Communications
Journal, Vol. 142–143, Pp. 9-33, May 2019
[47] A. Al-Hourani, S. Kandeepan, And S. Lardner, ‘Optimal Lap Altitude For Maximum Coverage’, Ieee
Wireless Communications Letters, Vol. 3, No. 6, Pp. 569–572, Dec. 2014.
[48] I. Dalmasso, I. Galletti, R. Giuliano, F. Mazzenga, "Wimax Networks For Emergency Management
Based On Uavs," Ieee First Aess European Conference On Satellite Telecommunications (Estel),
2012, Pp.1-6.
[49] M. S. Aljumaily, "Routing Protocols Performance In Mobile Ad-Hoc Networks Using Millimeter
Wave", International Journal Of Computer Networks & Communications, Vol. 10, No. 4, Pp. 23-36,
2018.
[50] K. Gomez, A. Hourani, L. Goratti, R. Riggio, S. Kandeepan, I. Bucaille, "Capacity Evaluation Of
Aerial Lte Base-Stations For Public Safety Communications," European Conference On Networks
And Communications, 2015, Pp. 133–138.
[51] W. Khawaja, I. Guvenc, D. Matolak, U. C. Fiebig, And N. Schneckenberger, “A Survey Of Air-To-
Ground Propagation Channel Modeling For Unmanned Aerial Vehicles,”Electrical Engineering And
Systems, Vol. 1801, No. 016, Pp.1-25, 2018.
[52] L. L. Hanzo, Mimo-Ofdm For Lte, Wi-Fi, And Wimax: Coherent Versus Non-Coherent And
Cooperative Turbo-Transceivers. United States: John Wiley & Sons, 2011.
[53] W. Feng, J. Wang, Y. Chen, X. Wang, N. Ge And J. Lu, "Uav-Aided Mimo Communications For 5g
Internet Of Things", Ieee Internet Of Things Journal, Vol.1, No.1, Pp. 1-10, 2018.
[54] F. A. Almalki, M. C. Angelides, “Deployment Of An Aerial Platform System For Rapid Restoration
Of Communications Links After A Disaster: A Machine Learning Approach”, Springer Computing
Journal, Forthcoming.
[55] S. Alsamhi, O. Ma, M. Ansari And S. Gupta, "Collaboration Of Drone And Internet Of Public Safety
Things In Smart Cities: An Overview Of Qos And Network Performance Optimization", Drones, Vol.
3, No. 1, P. 13, 2019.
[56] S. Aljahdali, ‘Enhancing The Capacity Of Stratospheric Cellular Networks Using Adaptive Array
Techniques’, International Journal Of Computer Network And Information Security, Vol. 5, No. 6,
Pp. 1–10, 2013.
[57] U. R. Mori, P. Chandarana, G. Gajjar, And S. Dasi, "Performance Comparison Of Different
Modulation Schemes In Advanced Technologies Wimax And Lte," Ieee International Advance
Computing Conference, 2015, Pp. 286 – 289.

133
[58] I. Aldmour, "Lte And Wimax: Comparison And Future Perspective," Communications And Network,
Vol. 05, No. 04, Pp. 360–368, 2013.
[59] H. Hariyanto, And A. K. Widiawan, ‘Emergency Broadband Access Network Using Low Altitude
Platform’, International Conference On Instrumentation, Communication, Information Technology,
And Biomedical Engineering, 2009, Pp.1-6.
[60] F. Almalki, M. Angelides, “Propagation Modelling And Performance Assessment Of Aerial
Platforms Deployed During Emergencies,” 12th Ieee International Conference For Internet
Technology And Secured Transactions, 2017, Pp.238–243.
[61] M. A. Rahman, ‘Enabling Drone Communications With Wimax Technology’, Ieee 5th International
Conference On Information, Intelligence, Systems And Applications, 2014, Pp. 323 – 328.
[62] Q. Zhang, M. Jiang, Z. Feng, W. Li, W. Zhang And M. Pan, "Iot Enabled Uav: Network Architecture
And Routing Algorithm", Ieee Internet Of Things Journal, Pp. 1-1, 2019.
[63] Iskandar And A. Abubaker, "Co-Channel Interference Mitigation Technique For Mobile Wimax
Downlink System Deployed Via Stratospheric Platform," Ieee 8th International Conference On
Telecommunication Systems Services And Applications (Tssa), 2014, Pp.1-5.
[64] P. Bilaye, V. Gawande, U. Desai, A. Raina, And R. Pant, ‘Low Cost Wireless Internet Access For
Rural Areas Using Tethered Aerostats’, Ieee Third International Conference On Industrial And
Information Systems, 2008, Pp.1-5.
[65] G. S. Rao, Mobile Cellular Communication. India: Pearson Education India, 2013.
[66] J. N. Pelton, S. Madry, S. Camacho-Lara, And Editors., Handbook Of Satellite Applications: 2013.
United States: Springer-Verlag New York Inc., 2013.
[67] C. Saunders, ‘The Role Of Small Satellites In Military Communications’, Iet Seminar On Military
Satellite Communications, 2013, Pp.1-13.
[68] B. Li, Z. Fei And Y. Zhang, "Uav Communications For 5g And Beyond: Recent Advances And
Future Trends", Ieee Internet Of Things Journal, Vol. 6, No. 2, Pp. 2241-2263, 2019.
[69] M. Sadek And S. Aissa, ‘Personal Satellite Communication: Technologies And Challenges’, Ieee
Wireless Communications, Vol. 19, No. 6, Pp. 28–35, 2012.
[70] B. G. Evans, ‘The Role Of Satellites In 5g’, Ieee 7th Advanced Satellite Multimedia Systems
Conference And The 13th Signal Processing For Space Communications Workshop (Asms/Spsc),
2014, Pp.197 – 202.
[71] J. Liu, Y. Shi, Z. Fadlullah And N. Kato, "Space-Air-Ground Integrated Network: A Survey", Ieee
Communications Surveys & Tutorials, Vol. 20, No. 4, Pp. 2714-2741, 2018.
[72] S. Alsamhi And N. Rajput, "An Intelligent Hap For Broadband Wireless Communications:
Developments, Qos And Applications", International Journal Of Electronics And Electrical
Engineering, Vol. 3, No. 2, Pp. 134-143, 2014.
[73] L. Zhao, H. Zhang, F. Liu, K. Yang And L. Cong, "Joint Time-Frequency-Power Resource Allocation
For Low-Medium-Altitude Platforms-Based Wimax Networks", Iet Communications, Vol. 5, No. 7,
Pp. 967-974, 2011.
[74] C. Manikandan, P. Neelamegam, R. Kumar, V. Babu And S. Satwikkommi, "Design Of Secure And
Reliable Mu-Mimo Transceiver System For Vehicular Networks", International Journal Of Computer
Networks & Communications, Vol. 11, No. 02, Pp. 15-32, 2019. Available:
10.5121/Ijcnc.2019.11202.
AUTHORS
Dr Faris A. Almalki is an assistant professor in wireless communications and
satellites in Computer Engineering Department at Taif University. He is a Post-
Doctoral Researcher in the Department of Electronics and Computer
Engineering at Brunel University London. He holds a BSc in Computer
Engineering from Taif University, an MSc in Broadband and Mobile
Communication Networks from Kent University and a PhD. in Wireless
Communication Networks from Brunel University London. He is a Member of
the IEEE Communication Society. His research interests include Low- and High-
Altitude Platforms and their application in Ad hoc wireless networks.

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