D2D communication for spectral efficiency improvement and interference reduction: A survey

Bulletin of Electrical Engineering and Informatics
Vol. 9, No. 3, June 2020, pp. 1085~1094
ISSN: 2302-9285, DOI: 10.11591/eei.v9i3.2171  1085
Journal homepage: http://beei.org
D2D communication for spectral efficiency improvement
and interference reduction: A survey
Abdullah H. Alquhali, Mardeni Roslee, Mohamad Y. Alias, Khalid S. Mohamed
Centre for Wireless Technology (CWT), Faculty of Engineering, Multimedia University, Malaysia
Article Info ABSTRACT
Article history:
Received Oct 21, 2019
Revised Dec 28, 2019
Accepted Feb 14, 2020
Device-to-device (D2D) communication system plays an extremely
important role in fulfilling the demands of fourth generation (4G) and fifth
generation (5G) technologies. 4G technology cannot meet high data
demands. The D2D communication system is believed to provide major
improvements in resource usage, energy efficiency, and overall throughput,
which are the main demands for the 5G network. Some of the main
issues in the D2D communication system involve spectrum efficiency
and interference. Although many studies have been conducted on spectrum
efficiency improvement and interference reduction, the issues still remain.
A study should be conducted to obtain a better understanding of the D2D
communication systemand to develop a D2D scheme with efficient spectrum
utilization and interference reduction. Many survey papers have been
published on these issues, but the fundamental concepts behind the D2D
communication system require investigation. In this study, we investigated
and analyzed the fundamental concepts behind the D2D communication
system to develop an efficient D2D resource allocation scheme with
reduced interference.
Keywords:
5G
Device-to-device
In-band communication
LTE-A
Spectrum efficiency
This is an open access article under the CC BY-SA license.
Corresponding Author:
Mardeni Roslee,
Centre for Wireless Technology (CWT),
Faculty of Engineering, Multimedia University,
Persiaran Multimedia, 63100 Cyberjaya, Selangor, Malaysia.
Email: mardeni.roslee@mmu.edu.my
1. INTRODUCTION
Telecommunication firms are struggling to fulfil the total demand of mobile users. New mobile
applications, such as proximity-aware services, are launched in the market every day, in which most of them
have extremely intense data usage. Although the fourth generation (4G) cellular technologies have extremely
efficient performance in physical and media access control layers, they cannot meet the data demands
of mobile users and are lagging behind because of high traffic and extensive load on base stations
(BSs) [1-3]. The global mobile traffic has increased by a thousand times in this decade as predicted by
the Mobile Communication Enablers for the 2020 Information Society (METIS) [4, 5]. The increasing
number of Internet of Things (IoT) connected devices, such as tablets, mobile phones, video sharing, social
networking, and online gaming, requires huge data demands. Therefore, the upcoming generation cellular
technologies should be developed to fulfil such demands. Several technologies are under development,
where device-to-device (D2D) communication exhibits huge potential.
D2D communication describes the direct transmission of data packets between user equipment
(UE). The conventional design of cellular communication can only manage small data rate services, altho ugh
UE are in the vicinity of each other. Some challenges, such as spectral efficiency, energy efficiency,

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Bulletin of Electr Eng & Inf, Vol. 9, No. 3, June 2020 : 1085 – 1094
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data interference reduction, and transmission delay, occur when dealing with such scenarios because of high
data rate requirements and the existence of end users exist in proximity. Many spectral utilization prototypes
are proposed by researchers. However, they still induce harmful interference among nodes and cellular users
(CUs). This study investigates different spectrum utilization approaches and finds a method to enhance
spectrumutilization for reducing undesirable interferences that degrade the overall network performance.
In D2D communication, the spectrum can be shared between D2D and CUs using two methods,
namely, inband and outband communication [4-7], where the resource sharing mechanism is implemented
using underlay and overlay communication [8-10]. Resource management is controlled using controlled
and autonomous approaches, which are also known as centralized and distributed control schemes [11-15]
as shown in Figure 1. The rest of this paper is organized as follows. Section 2 describes the general concepts,
advantages,and disadvantages ofD2D communication. Section 3 discusses the literature on the basic designs
of D2D communication and the structures in which a D2D system can be developed. Section 4 provides
the conclusions, general comments, and recommendations on the D2D systemdesigns proposed on the basis
of the literature. Table 1 provides the list of acronyms used in this study.
Figure 1. Device-to-device communication architecture
Table 1. List of acronyms
Acronyms Full form
D2D Device-to-Device
IoT Internet of things
4G Fourth Generation
MAC Media Access Control
ProSe Proximity Services
METIS Mobile andWireless communications Enablers for
the Twenty-twentyInformation Society
QoS Quality of Service
5G Fifth Generation
LTE-U LongTermEvolutionin Unlicensedspectrum
UL Up-link
DL Down-link
LTE-A LongTermEvolutionAdvance
eNB EvolvedNodeB
HetNets Heterogeneous Networks
UEs User Equipments
CU Cellular User
OFDM Orthogonal FrequencyDivision Multiplexing
BS Base Station
CSI Channel State Information
mm-wave Millimeter-wave
2. GENERAL CONCEPTS OF D2D COMMUNICATION SYSTEM
Although many studies have been conducted on D2D communication, some complexities
are encountered in understanding the terms used in general D2D communication systems. Thus, this study
first focuses on understanding each term used in D2D communication taxonomy. Table 2 summarizes
the merits and disadvantages ofD2D communication.

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2.1. Inband communication
The literature in this category has been widely investigated and proposed the use of the cellular
licensed spectrum for cellular and D2D links. Inband communication is selected to acquire high and efficient
utilization for the spectrum because it enables high control on the cellular licensed spectrum [16-18].
Researchers have extensively investigated several inband communication schemes and their ability
to mitigate interferences by controlling the licensed spectrum [2]. High traffic and congestion -related
issues may arise when huge number of communication establishment requests and demands for data
rates are received, such as public safety, video games, and content sharing [19]. Therefore, inband
communication is effective in improving spectral efficiency [20] because the BS can control the entire
communication system[21].
2.2. Outband communication
Unlicensed spectrum is utilized by customers during outbound communication. The fundamental
advantage of this spectrum is that is free of charge [22]. This communication technique is suitable in
uncrowded areas, whereas it becomes extremely challenging in high-traffic areas because of interference
when the number of users increases [23]. Outband communication mainly aims to accommodate adequate
data rate in local area networks, such as industries, public areas, and personal area networks [3].
This technique also aims to minimize the interference caused by D2D to CUs [24]. Unlicensed spectra
are widely used in industrial, scientific, and medical communication systems that use personal area network
technologies and adhoc networks. Such spectra are mostly used for short-range communication systems,such
as Wi-Fi Direct and Bluetooth [25].
2.3. Underlay communication
This is the first resource sharing mechanism, in this resource sharing mechanism,
the communication spectrum is shared between the cellular and D2D users, both of these users
can communicate at the same time using the same radio resources [26]. D2D users and cellular users can use
a single channel utilizing mixed time slots [24]. Therefore, sometimes this communication system is also
known as the mixed-mode communication [16]. This system can cause interference when it is improperly
managed because it allows multiple users to work together, indicating that the network supports many users
utilizing the same number of resources [27]. The system spectrum efficiency is improved when the number
of resources remains the same with the increase in the number of users [28], as shown in Figure 2.
Figure 2. Resource sharing mechanism (reproduced from [3])
2.4. Overlay communication
In this communication, the spectrum between D2D and CUs is separated, where a portion
of the spectrum is used by D2D users, and the other portion is dedicated for CUs. In this way, a fraction
of the channels is used by the former, whereas the remaining channels are utilized by the latter [29]. In other
words, a single channel is shared between D2D and CUs at different time slots [30]. The initialtime slots can be

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given to CUs, whereas the last time slots can be given to D2D users. In this communication system, D2D
users occupy the empty cellular spectrum for communication [31]. In this communication system,
interference is mitigated but the spectrum efficiency is reduced because D2D users are served at the expense
of CUs [32], as shown in Figure2.
2.5. Controlled or centralized mechanism
In this mechanism, the cellular network operator controls the assignment ofradio resources,indicating
that the BS controls the operation of UE and is responsible for all the tasks related to device communication
systems, such as resource allocation, power control, and mode selection [33]. The QoS of each D2D UE
is controlled by the BS in such a way that it provides the facility for optimizing the spectrum resource
usage and reducing the interference [34]. This system is simple because the BS controls the overall system
and has all the information to reduce the conflicts caused by different devices, and the dynamic system
is efficiently handled [35]. This control system can cause the failure of the entire communication systemwith
the failure of a single [36].
2.6. Autonomous or distributed mechanism
In this mechanism, individual UE are responsible for the D2D communication system. Hence,
the communication channel access and interference control functions are implemented at the user side [37].
The UE would require the CSI of the complete network by fetching the local information of the remaining
UE [38]. This type of control system can be used without considering the nature of individual UE, thereby
resulting in fast decision making and quick variation to dynamic system environments . Individual nodes
are autonomous in making decisions, thereby resulting in rapid adaptation of the dynamic system
and decision making [5]. However, the UE can possibly make decisions on its own because the system is
autonomous. Therefore, multiple decisions can cause the divergence of the overall joint decision [39].
This condition complicates the communication system because of the large and complex signal processing
requirement at the user end. Therefore, the system should be efficiently optimized when making decisions in
a dynamic systemto obtain solutions with optimal efficiency [40], as shown in Figure 3.
Table 2. Comparison between the D2D mechanisms
Mechanism Description Advantages Disadvantages
Inband This mechanismis
widely investigated
anduses the cellular
licensedspectrum
for cellular andD2D
links. Therefore,
inband
communicationis
used to acquire
highly efficient
utilizationof the
spectrum andhigh
control of the
licensedcellular
licensedspectrum
 CUs efficientlyutilize D2Dunderlay
because of the spatial diversity
 CUs Clear regulation ofQoSbecause the BS
controls the licensedmobile spectrum
 Any CU can use in- bandD2D
communications because the cell interface is
typicallynot allowedat outbandfrequencies
 Free of charge
 Dedicatingcellular resources tothe D2D
spectrum is not requiredin underlayinband
because the CU can reuse, the UL frequency
comparedwith theoverlayinband
 Interference canbe controlledandno
interplatformis required
 Does not require more than one interface for
devices
 Improve the performancein underlay
 The interference betweenthe CU
andD2D users is extremely difficult
in underlay communication
comparedwith
overlaycommunication.
 The spectral efficiency in overlay
communicationis reducedbecause
of the waste of cell resources
 Cannot simultaneously transmit (UL)
D2D andcellular spectrum
 High computationcomplexity
of scheduler resource allocation
andpower control optimization
 High cost
Outband Unlicensed
spectrum is
exploitedby the
user. Therefore,
outbandD2D
communicationis
used to mitigate the
interference between
D2D andcellular
link.
 The unlicensedoutbandspectrum is usedis
to mitigate the interferencebetweenD2D
andCUs
 Free of charge
 No needto dedicate resources of CUs to
D2D users (e.g., overlay)
 Less computational complexitytoscheduler
resource allocationapproaches andpower
control optimization
 D2D andcellular users can Simultaneously
transmit data
 Interference cannot be controlled
because the spectrumis unlicensed
 Only cellular devices with two radio
interfaces (e.g., LTE andWi-Fi) can
use outbandD2D communication
 Efficient power management
between two wireless interfaces is
crucial. Otherwise, the power
consumptionof thedevice increases
 Packets (headers) shouldbe
decodedandencoded
be-cause the protocols usedby
different radiointerfaces are different
 Uncontrollednatural interference
(unlicensedspectrum)

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Table 2. Comparison between the D2D mechanisms (continue)
Mechanism Description Advantages Disadvantages
Centralized
/Con- trolled
The key node applies
bandwidth to D2D and
B2D connections.The
BS uses the channel
quality indicatorof all
B2D andD2D links to
assign the spectrumto
the B2D andD2D
connetions using
centralizedtechniques.
Consequently,the BS
is responsible for all
computerand
management tasks
Lowinterference betweenthe devices
Efficient handlingof the dynamic system
Improves the reliabilityandperformance
 The entire systemcanfail because
of single point failure.
 The overloadof the BScan cause
limited
 Poor availability
 Lack of failure tolerance
Distributed
/Au-
tonomous
Individual UE are
responsible for
allocatingthe
spectrum forD2D
communication.
Therefore, theUE
acquire the CSI of the
entire networkby
exchangingtheirlocal
informationwith other
UE.
Fast adaptationofthe dynamic system
Can be used in the absence of coverage
Reduces the overheadof the cellular network
 User equipment canmake a decision
on their own
 Multiple decisions maycause
the divergence ofthe overall joint
decision
 High computational complexity
Figure 3. A D2D enabled cellular network [40]
3. D2D COMMUNICATION SYSTEM DESIGNS
Algorithm structures for D2D communication system have been developed using different
approaches. This study presents the general approaches that can be utilized to develop D2D prototypes.
This study reviews the algorithms and approaches used for the development of D2D prototypes. A D2D
algorithm can be designed using eight fundamental approaches, as shown in Figure 4. However, this study

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only focuses on the inband communication system approaches, as shown in Figures 4-7. The authors in [41]
a random resource allocation scheme to mitigate interference and improve the spectrum efficiency. In this
method, available D2D devices can reuse any CU channel resources. The interference of UL devices can be
controlled using this method without increasing the distance between the users. However, efficient utilization
of available frequency bands cannot be obtained in this D2D scheme. The authors in [7, 42] presented
a resource allocation scheme that divides the entire cell area into two non-overlapping regions without
sectionalizing the cell.
The system throughput is improved by reusing more than one channel resources of CUs. However,
the network model is not analyzed for densely allocated users. In [43], a post resource allocation scheme was
introduced, where the reuse scenario of frequency is determined on the basis of the interference caused by
D2D equipment. The drawback of this system is that an omnidirectional antenna was considered, thereby
causing noise in the system. In [44], a Q-learning resource allocation algorithm was developed for LTE-U
networks with DL and UL decoupling. The design of this algorithm is shown in Figure 4. They formulated
a spectrum allocation problem on the basis of a game theoretic model to incorporate user association,
spectrumallocation, and load balancing.
Figure 4. Configuration-1
The design of this algorithm is shown in Figure 5. The main advantage of this method is that the BS
can allocate resources although the information about the network is limited. The authors in [10], proposed
a D2D communication approach using two steps, where the resource allocation is analyzed in this first step,
and the interference reduction problem is designed in the second step. However, the QoS was not analyzed.
In [9], a fractional frequency reuse-based method was presented to re-utilize the subsisting cellular channel
resource for reducing the traffic load on the eNB to decrease the end-to-end delay and improve the system
performance and spectral efficiency. Although these objectives are achieved to some extent, cellular and
D2D users still experience some interferences. The authors integrated a distance-based resource allocation
system with a fractional frequency reuse mechanism to reduce the interference. The proposed design
experiences less interference and exhibits better system performance than the system proposed by [41, 42].
The design of the above mentioned D2D mechanisms is based on Figure 4.
The above mentioned algorithms have some limitations, such as cannot achieve efficient utilization
of available frequency bands [41]. The system in [42] do not analyze the densely allocated users, the system
in [43] leads to noise and interference, and the systemin [10] ignores QoS analysis. The interference between
D2D and CUs is ignored in the system of [9] and has several interferences. All systems cause
congestion to the BS.
As shown in Figure 4, inband communication is applied in many D2D schemes to improve
the spectrum efficiency. A resource allocation scheme based on Q-learning and configuration 2 is proposed

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using a single-tier network. The resource is shared between the cellular and D2D users to maximize resource
throughput. This type of solution can be extremely efficient in solving the resource allocation problems in 5G
networks [45]. The authors in [46] presented a Q-learning-based resource allocation scheme using a two-tier
network. The configuration 2 framework aids systems in generating strategies by sharing information for
selecting the resource blocks and calculating the input from activities in the context of QoS specifications.
The main disadvantage of this algorithm is that the network model considers only one macro cell and only
one user is connected to a single femtocell, which is impractical. In [47], an autonomous resource allocation
scheme using an autonomous Q-learning algorithm was develop to improve the spectrum efficiency
and control the interference in D2D-enabled multi-tier HetNets. This algorithm aims to autonomously reduce
the load on the BS and the spectrum using the devices and to increase the throughput of D2D users while
maintaining the QoS requirements and outage ratio of CUs.
The learning methodology is to use the interactions with the environment to adapt the dynamic
network conditions. The optimality of the throughput indicates that the signal-to-noise ratio, cellular outage
ratio, computation time, and spectral efficiency of this technique is better than the distance- constrained
resource sharing scheme [11] that mainly focuses on selecting the CU equipment for a D2D link to share its
resources. The authors formulated the resource block, channel communication, modulation, and coding
scheme as one resource allocation problem using joint resource allocation and linked algorithm to obtain
an effective solution [48]. Similar techniques requiring network assistance [8, 49] have been proposed in
the past decade. The resource block can be automatically selected by D2D users using a network-assisted
interference mitigation scheme with the same configuration [50]. The D2D systems designed based on
the configuration in Figure 5 lack spectral efficiency and are impractical. The scheme proposed by [46]
is impractical because it only uses one macrocell and only one user is connected to a single femtocell. The
remaining systems proposed by [11, 47-49] either cause synchronization loss, unreliability, require network
assistance,orincrease complexity.
Millimeter waves can be integrated with the D2D technology to improve the spectrum efficiency
and the performance of 5G. The author in [14] developed a system based on Figure 6 to reduce
the complexity of interference avoidance in high-traffic areas. The inband resource selectively switches to
overlay mode under high traffic, where the resource assigned using quadrative programming is designed
and formulated to increase the system capacity using a heuristic algorithm. This system exhibits
good performance under high traffic and improves the spectrumefficiency because of the selective operation
mode [14]. Other researchers have presented other mechanisms where the D2D communication systems can
be considered a disruptive technology for 5G. D2D communication can be centralized and distributed,
that is, devices can be controlled by the BS or can be autonomously switched [12, 13, 51]. In [13] proposed
a system based on configuration 3 to mitigate the interference and improve the resource efficiency through
an efficient channel assignment design. This scheme is compared with the full reuse channel assignment
algorithm, where every D2D equipment is used to completely share the channel resource, indicating that this
scheme performs better in terms of spectrumreuse, systemblocking, and energy efficiency.
In [52], a D2D resource allocation algorithm based on the location of vehicles and vehicle-to-vehicle
broadcasting was introduced. This algorithm is based on separate locations and applies configuration 3.
The results showed that this algorithm performs well in terms of resource usage, transmission accuracy,
and time delay, indicating that the resource utilization efficiency is improved. Another advantage
of this system is that the packet error rate is controlled to an acceptable range. However, the systemhas high
load on equipment.
The main advantages of these systems are that they mitigate the interference and improve
the spectral efficiency using mode selection. However, these systems should be improved in terms
of reliability and consistency. In [4] considered a D2D scenario where D2D users can communicate
bidirectionally. This communication system is designed on the basis of Figure 7. D2D users could

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communicate with the cellular BS and UE. In this system, the relay selection from the D2D users
is considered because multiple pairs of D2D users can exist. This system is effective in improving
the performance ofD2D and CUs. The relay selection is effective in increasing the sum rate of the cellular
networks. The author in [53] developed a method for spectrum allocations based on configuration 4, where
the D2D equipment decides about its transmission mode by measuring the activity on the D2D spectrum
and using a carrier sensing threshold. In this way, the performance of D2D communication can be improved,
thereby reducing the interference. The signalling is reduced between the BSs and the users because
the system is autonomous. The signalling between the overhead D2D users and their home BSs is completely
eliminated, and the high bandwidth signals of CUs are allocated to D2D. The drawback of this system
is that the objective function is optimized for D2D users because the rate of CUs is only regarded as
the optimization constraint.
4. SUMMARY
A D2D communication system can be designed on the basis of some fundamental concepts, such as
spectrum authorization type, spectrum allocation mechanism, and system control mechanism. Inband
communication is widely used in the literature because it reduces the interference between the devices.
Outbound communication is widely used in industrial applications. However, it results in many interferences
caused by unlicensed authorization policies. Although the underlay spectrum mechanism increases
the spectrum efficiency, the communication spectrum shared between the cellular and D2D equipment results
in interference. The overlay spectrum mechanism is used in different spectrum channel slots because it
reduces the interference at the expense of the spectrum efficiency. The centralized control system is simple,
optimizes the spectrum resource usage, and reduces the interference. A single connection problemcan cause
failure of the entire system and lead to BS overload issues. In the distributed control method, communication
can be established in the absence of coverage, thereby resulting in the rapid adaptation of dynamic system
and decision making. However, multiple decisions can cause the divergence of the overall joint decision,
thereby complicating the communication systemand requiring complex signal processing at the user end.
All the mechanisms have some advantages and disadvantages. Researchers have developed mixed
mode solutions, such as centralized communication system, to achieve improved flexibility where the BS can
be automatically switched to a distributed system until it reaches affordable load conditions. Similarly,
the underlay communication system can be switched to overlay communication system when the traffic
exceeds the limit, and the system can be automatically changed to the underlying system with the reduction
in traffic. D2D communication systems should be improved.
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BIOGRAPHIES OF AUTHORS
Abdullah H. Alquhali received the B.Eng degree in electrical and communications engineering
from Sana’a University in 2012 and Master of Engineering in telecommunications from
Multimedia Uni- versity (Malaysia) in 2018. He is currently doing his Ph.D. degree in Efficient
Spectrum Utilization Algorithm Based on Distance of 4G and 5G D2D Wireless Technologies.
His current research interests include 4G and 5G, resource allocation, spectrum efficiency
and Device-to-Device communications, and next generation cellular networks.
Mardeni Roslee is a registered Chartered Engineer with the Engineering Council United
Kingdom, and Member with The Institution of Engineering and Technology (IET), United
Kingdom. As a Chartered Engineer, he bring a diversified range of engineering experience in
design, development and engineering management. His experiences include the consultation,
professional institution and academic sectors. He is a Senior Member of IEEEand senior member
of IACSIT. His current research interests are wireless mobile communication and radar
communication system.
Mohamad Y. Alias obtained the bachelor of science in engineering (Electrical Engineering)
degree from the University of Michigan, Ann Arbor, in May 1998. He then received his Ph.D.
degree in December 2004 from the School of ECS, University of Southampton in the United
Kingdom. He is currently a Professor at the Faculty of Engineering, Multimedia University in
Malaysia. His research interests cover the field of wireless communications especially in OFDM,
multiple antenna system, multiuser detection, genetic algorithms in communications, multimedia
applications, and visible light communications
Khalid S. Mohamad received his B.Eng. and M.Eng. in Telecommunication from Future
Uni- versity, Sudan in 2011 and Multimedia University, Malaysia in 2014, respectively.
He is currently pursuing his Ph.D. in Telecommunication in Multimedia University, Malaysia.
His research interests include Cellular communication, LTE, 5G, Interference Management in
Heterogeneous Networks

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