Abstract 5G Technology

Index
ABSTRACT.......................................................................................................01
1. INTRODUCTION........................................................................................01
2. REVIEW........................................................................................................02
2.1 First Generation(1G)-Analog System......................................................02
2.2 Fourth Generation(4G): Revolutionary Approach................................03
2.3 TechnicalIssues...........................................................................................03
3. RECONFIGURABLE TECHNOLOGY....................................................04
3.1 OFDM..........................................................................................................04
3.2 Multiple-Input Multiple-Output...............................................................05
3.3 Software DefinedRadio..............................................................................05
3.4 5G BasedonCognitive Radio 5G Concept...............................................05
3.5 Sensing the current radio frequency spectrum environment.................06
3.6 Policyand configuration databases...........................................................06
3.7 Self-configuration........................................................................................06
3.8 Mission-orientedconfiguration.................................................................06
3.9 Adaptive algorithms...................................................................................06

3.10 Distributed collaboration.........................................................................06
3.11 Security......................................................................................................07
3.12 Benefitof Nanotechnology.......................................................................07
4. HIERARCHICAL SYSTEM.......................................................................07
4.1 Macro Cell...................................................................................................07
4.2 Micro Cell....................................................................................................07
4.3 Pico Cell.......................................................................................................07
5. PROPOSEDNETWORK............................................................................08
6. CONCLUSION.............................................................................................08
References..........................................................................................................08

5G Technology
ABSTRACT
The future of mobile wireless communication networks will include existing 3rd generation,
4th generation (implemented In Japan, USA and South Korea etc.), 5th generation (based on
cognitive radio which implies the whole wireless world interconnection & WISDOM –
Wireless innovative System for Dynamic Operating Mega communications concept), 6th
generation (with very high data rates Quality of Service (QoS) and service applications) and
7th generation (with space roaming). This paper is focused on the specifications of future
generations and latest technologies to be used in future wireless mobile communication
networks. However keeping in view the general poor masses of India, some of the future
generation technologies will be embedded with 2G and 2.5G so that general masses may get
the advantage of internet, multimedia services and the operators may get proper revenues
with little extra expenditure in the existing mobile communication networks.
1. INTRODUCTION
Mobile devices together with the intelligence that will be embedded in
human environments -home, office, public places - will create a new platform that enables
ubiquitous sensing, computing, storage and communication. Core requirements for this kind
of ubiquitous ambient intelligence are that the devices are autonomous and robust. They can
be deployed easily and require little maintenance. Mobile device will be the gateways to
personally access ambient intelligence and needed information. Mobile also implies limited
size and restrictions on the power consumption. Seamless connectivity with other devices and
fixed networks is a crucial enabler for ambient intelligence system -this leads to requirements
for increased data-rates of the Ambient intelligence and needed information wireless links.
Ambient intelligence and needed information wireless links. Intelligence, sensing,
context awareness and increased data-rates require more memory and computing power,
which together with the size limitations leads to severe challenges in thermal management.
All the above requirements can be addressed satisfactorily with the application of OFDM,
CDMA-2000, WCDMA/UMTS, TD-SCDMA, Wi-Fi (i.e. Wireless LAN) networks with

fixed internet to support wireless mobile internet as the same quality of service as fixed
internet, which is an evolution not only to move beyond the limitations and problems of 3G,
but also to enhance the quality of services, to increase the bandwidth and to reduce the cost of
the resource, 5G based on cognitive radio, 6G (to integrate satellites for getting global
coverage) and nanotechnology [1].4G mobile systems will mainly be characterized by a
horizontal communication model, where such different access technologies as cellular,
cordless, wireless LAN type systems, short-range wireless connectivity, and wired systems
will be combined on a common platform to complement each other in the best possible way
for different service requirements and radio environments [2].
The 5th wireless mobile multimedia internet networks can be completed
wireless communication without limitation, which bring us perfect real world wireless –
World Wide Wireless Web (WWWW). 5G is based on 4G technologies, which is to be
evolution to 5G. During this processing, there are two kind of problems need to be solved.
The first is wider coverage and the second is freedom of movement from one technology to
another. The 6th generation (6G) wireless mobile communication networks shall integrate
satellites to get global coverage. The global coverage systems have been developed by four
courtiers. The global position system (GPS) is developed by USA. The COMPASS system is
developed by China. The Galileo system is developed by EU, and the GLONASS system is
developed by Russia [3]. These independent systems are difficult for space roaming. The task
of 7th generation (7G) wireless mobile communication networks are going to unite the four
systems to get space roaming.
2. REVIEW
2.1 First Generation (1G)-Analog System
The first generation wireless mobile communication system is not digital
technology, but analog cellular telephone system which was used for voice service only
during the early 1980s [4]. This Advanced Mobile Phone System (AMPS) was a frequency
modulated analog mobile radio system using Frequency Division Multiple Access (FDMA)
with 30kHz channels occupying the 824MHz − 894MHz frequency band and a first
commercial cellular system deployed until the early 1990’s [5].

2.2 Fourth Generation (4G): Revolutionary Approach
- Higher bit rates than 3G and full mobility.
- Higher spectral efficiency and lower cost per bit than 3G
- Air Interface optimized for IP traffic.
Examples: OFDM, MIMO
2.3 Technical Issues

1. High data rates- OFDM, MC-CDMA, Synchronization & estimation, Distortion
(Linear, non-linear).
2. Coding- Iterative decidable codes (Turbo, LDPC)
3. Smart antenna systems
4. MIMO (Multi Input Multi Output) devices
5. Reconfigurable terminals (SW and HW)
6. Cognitive Radio
3. RECONFIGURABLE TECHNOLOGY
Reconfigurable refers to the software re-definition and/or adaptation of every element
Within each layer of the communication chain
.
3.1 OFDM
3G system such as high speed packet access (HSPA) provide up to round 15-20
Mbps downlink and about 5-10 Mbps uplink. 4G systems are being designed to support 5 to
10 times these rates (i.e. downlink above 100 Mbps and uplink above 50 Mbps). OFDMA is
based on orthogonal frequency division multiplexing. At first OFDM was used into fixed
access WIMAX 802.16D to provide high speed internet access either as a replacement for
other access technologies like ADSL or cable, or to provide service in regions where the
other access technologies where not deployed.
The widespread interests of OFDM become clear from a glance at OFDM
characteristics. In 802.11a, OFDM provides raw data rates up to 54 Mbits / s in a 20-MHz
channel. In addition to supporting high data capacity and resisting degradation from various
types of radio effects, OFDM makes highly efficient use of the available spectrum. The latter
characteristic will become crucial in coming years as wireless networks are built out. OFDM
Simple Architecture Overcomes -Noise, Signal to Noise Ratio Challenges, Multipath Fading,
Adjacent Channel, Interference, Non-Adjacent Channel Interference. OFDM also provides a
frequency diversity gain, improving the physical layer performance. It is also compatible with
other enhancement technologies such as smart antennas and MIMO. OFDM modulation can
also be employed as a multiple access technology (OFDMA). In this case, each OFDM
symbol can transmit information to/from several users using a different set of sub carriers
(sub channels). This not only provides additional flexibility for resource allocation
(increasing the capacity), but also enables crosslayer optimization of radio link usage. The
idea of the complementation of IPv6, OFDM, MCCDMA, LAS-CDMA, UWB and Network-
LMDS can be arranged in different zone size. IPv6 can be designed for running in the all area
because it is basic protocol for address issue. LASCDMA can be designed for the global area
as zone 1, world cell. OFDM and MC-CDMA can be designed for running in the wide area
(Zone 3), called Macro cell. Network-LMDS is in Zone 2, Micro cell, and UWB is in Zone 1,
Pico cell. MC-CDMA stands for Multi-Carrier Code Division Multiple Access, which is
actually OFDM with a CDMA overlay LAS-CDMA Large Area Synchronized Code Division
Multiple Access is developed by Link Air Communication, a patented 4G wireless

technology. “LAS-CDMA enables high-speed data and increases voice capacity and the latest
innovative solution. In 4G technologies, UWB *7 radio can help solve the multi-path fading
issues by using very short electrical pulses to across all frequencies at once. The Network-
LMDS, Local Multipoint distribution system, is the broadband wireless technology used to
carry voice, data, Internet and video services in 25GHz and higher spectrum.
3.2 Multiple-Input Multiple-Output
MIMO uses signal multiplexing between multiple transmitting antennas (space multiplex)
and time or frequency. It is well suited to OFDM, as it is possible to process independent
time symbols as soon as the OFDM waveform is correctly designed for the channel. This
aspect of OFDM greatly simplifies processing. The signal transmitted by m antennas is
received by n antennas. Processing of the received signals may deliver several performance
improvements: range, quality of received signal and spectrum efficiency.
3.3 Software Defined Radio
Software Defined Radio (SDR) benefits from today’s high processing power to develop
multiband, multi-standard base stations and terminals. Although in future the terminals will
adapt the air interface to the available radio access technology, at present this is done by the
infrastructure. Several infrastructure gains are expected from SDR. For example, to increase
network capacity at a specific time (e.g. during a sports event), an operator will reconfigure
its network adding several modems at a given Base Transceiver Station (BTS). SDR makes
this reconfiguration easy. In the context of 4G systems, SDR will become an enabler for the
aggregation of multi-standard pico/micro cells. For manufacturer, this can be a powerful aid
to providing multi-standard, multi-band equipment with reduced development effort and
costs through simultaneous multi-channel processing
3.4 5G Based on Cognitive Radio 5G Concept
The twenty-first century is surely the “century of speed”, and achieves a high evolution in all
the possible domains, especially in communication: a very large variety of services, software,
equipments, possibilities etc. But this huge and colored offer also brings a complicated
lifestyle and waste of time for the human beings, and needs to be integrated and achievable in
a simple manner. Therefore, a new technology started to be delineated, that will provide all
the possible applications, by using only one universal device, and interconnecting the already
existing communication infrastructures that is the fifth generation of the mobile
communications standards—5G. Both the cognitive radio (CR) and the fifth generation of
cellular wireless standards (5G) are considered to be the future technologies: on one hand,
CR offers the possibility to significantly increase the spectrum efficiency, by smart secondary
users (CR users) using the free licensed users spectrum holes; on the other hand, the 5G
implies the whole wireless world interconnection (WISDOM—Wireless Innovative System
for Dynamic Operating Mega communications concept), together with very high data rates
Quality of Service (QoS) service applications. Cognitive Radios (CRs) integrate radio
technology and networking technology to provide efficient use of radio spectrum, a natural
resource, and advanced user services. The idea of a cognitive radio extends the concepts of a

hardware radio and a software defined radio (SDR) from a simple, single a function device to
a radio that senses and reacts to its operating environment. A Cognitive Radio incorporates
multiple sources of information, determines its current operating settings, and collaborates
with other cognitive radios in a wireless network. The promise of cognitive radios is
improved use of spectrum resources, reduced engineering and planning time, and adaptation
to current operating conditions. Some features of cognitive radios include:
3.5 Sensing the current radio frequency spectrum environment
This includes measuring which frequencies are being used, when are they used, estimating
the location of transmitters and receivers, and determining signal modulation. Results from
sensing the environment would be used to determine radio settings.
3.6 Policy and configuration databases
Policies specifying how the radio can be operated and physical limitations of radio operation
can be included in the radio or accessed over the network. Policies might specify which
frequencies can be used in which locations. Configuration databases would describe the
operating characteristics of the physical radio. These databases would normally be used to
constrain the operation of the radio to stay within regulatory or physical limits.
3.7 Self-configuration
Radios may be assembled from several modules. For example, a radio frequency front-end, a
digital signal processor, and a control processor. Each module should be self-describing and
the radio should automatically configure itself for operation from the available modules.
Some might call this “plug-and-play.”
3.8 Mission-oriented configuration
Software defined radios can meet a wide set of operational requirements. Configuring a SDR
to meet a given set of mission requirements is called mission oriented on figuration. Typical
mission requirements might include operation within buildings, substantial capacity,
operation over long distances and operation while moving at high speed. Mission-oriented
configuration involves selecting a set of radio software modules from a library of modules
and connecting them into an operational radio.
3.9 Adaptive algorithms
During radio operation, the cognitive radio is sensing its environment, adhering to policy and
configuration constraints, and negotiating with peers to best utilize the radio spectrum and
meet user demands.
3.10 Distributed collaboration

Cognitive radios will exchange current information on their local environment, user demand,
and radio performance between themselves on regular bases. Radios will use their local
information and peer information to determine their operating settings.
3.11 Security
Radios will join and leave wireless networks.
3.12 Benefit of Nanotechnology
Mobility also implies limited size and restriction on the power consumption. Seamless
connectivity with other devices and fixed networks is a crucial enabler for ambient
intelligence systems- this leads to requirements for increased data rates of the wireless links.
Intelligence, sensing, context awareness, and increased data rates require more memory and
computing power, which together with the size limitations leads to severe challenges in
thermal management.[10], [11] All these requirements combined lead to a situation which
can not be resolved with current technologies. Nanotechnology could provide solutions for
sensing, actuation, radio, embedding intelligence into the environment, power efficient
computing, memory, energy sources, human-machine interaction, materials, mechanics,
manufacturing, and environmental issues [6].
4. HIERARCHICAL SYSTEM
The vision of the “third generation” cellular system incorporates micro & picocells for
pedestrians use, with macrocells for roaming mobiles. In order to increase the growing
capacity demands of cellular mobile communication systems cell splitting will be applied
and/or small pico cell will be established .Since both measures can increase spectral
efficiency. Hierarchical cellular networks have been suggested previously to overcome the
inherent disadvantage of an increased no of handoffs, which both cell splitting and small
picocells, bring about. A critical question with respect to hierarchical cellular networks is
how to divide the available radio resources (i.e. frequency, channels) among the macro and
micro cells layers in a optimal way.
Another important aspect is the optimal choice of a threshold velocity above
which users are assigned to the macrocell layer. Most research in this area so far has dealt
with those issues is a static way, assuming fixed traffic and mobility parameters. First time in
the year 2000, two adaptive algorithms are described, which control the threshold velocity as
well as the division of the resources among these layers, dynamically. The performance of
those algorithms is evaluated by means of computer simulations [7].
4.1 Macro Cell
A conventional base station with 20W power and range is about 20 km to 30 km.
4.2 Micro Cell

A conventional base station with 5W power and range is about 1km to 5 km.
4.3 Pico Cell
The picocells are small versions of base stations, ranging in size from a laptop computer to a
suitcase. Besides plugging coverage holes, picocells are frequently used to add voice and data
capacity, something that repeater and distributed antenna can not do. Adding capacity in
dense area, splitting cells are expensive, time consuming and occasionally impossible in
dense urban environment where room for a full size base station often is expensive or
unviable. Compact size pico cells makes them a good fit for the places needing enhanced
capacity, they can get. Picocells are designed to serve very small area such as part of a
building, a street corner, malls, railway station etc. These are used to extend coverage to
indoor area where outdoor signals do not reach well or to add network capacity in areas with
very dense uses.
5. PROPOSED NETWORK
Based on smart antenna, MC-CDMA and OFDMA technologies cellular network has been
proposed with minor amendments in existing 2G and 2.5G systems for providing quality
service and enhanced spectral density at reduced rate.[9], [12], [13], [14], [15], [16] [17].
6. CONCLUSION
In this paper the survey of 1G to 4G, 5G and CR technologies have been presented &
discussed. The important technologies required for achieving desired specifications were also
discussed and finally roadmap for probable 5G, 6G and 7G networks have been proposed. 5G
obtains the tool technology to interconnect and integrate all the wireless network types and
thus gains the needed network infrastructure (CR network). 6G will integrate all wireless
mobile networks with satellites to get global coverage. 7G wireless mobile networks are
going to unite the four GPS systems available in space to get space roaming in addition to 6G
systems. However our complete attention is to enhance the quality of services, to increase the
bandwidth and to reduce the cost of the resource [8] along with reduction of RF pollution and
power consumption. The modified networks for 2G and 2.5G systems have been proposed to
get the desired results. The addition of smart antenna in the system alone can increase
spectral efficiency and quality of services manifold.
References
[1]. Al-Shawabkeh, M; Salleh, R; Li, X, (2007) “Bandwidth optimization control protocol for
4G wireless mobile internet”, Proceedings of the 11th WSEAS International conference on
Communications, Vol. 3, pp. 279-284. July 23-25, 2007. Agios Nikolaos, Greece.
[2]. Lu, Willie W, Open Wireless Architecture and Enhanced Performance, Guest Editorial,
IEEE Communication Magazine, June 2003.
[3]. Psiaki, M. L., “Block Acquisition of weak GPS signals in a software receiver”,
Proceedings of ION GPS 2001, the 14th International Technical Meeting of the Satellite

Division of the Institute of Navigation, Salt Lake City, Utah, September 11-14, 2001, pp.
2838-2850.
[4]. Chen, HH; Guizani, M; Mohr, W (2007), “Evolution toward 4G wireless networking”,
IEEE Network, Volume: 21 Issue: 1 pp. 4-5.
[5]. Chen, YP; Yang, YH (2007), “A new 4G architecture providing multimode terminals
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[8]. Al-Shawabkeh, M; Salleh, R; Li, X, (2007) “Bandwidth optimization control protocol for
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Communication Networks” International Conference on Communication Software and
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[10]. R.K.Jain, Risal Singh, “Role of Nanotechnology in future wireless and communication
systems”, National seminar proceeding, Academy of Business & Engineering Science
Ghaziabad, pp-19-28, 16-17th January 2009.
[11]. R.K.Jain, H.C.Agarwal, Risal Singh” Applying the intelligent cell concept in cellular
networks and communication systems”, National seminar proceeding, Academy of Business
& Engineering Sciences, Ghaziabad, pp-41-48, 16-17th January, 2009.
[12]. Ch. Santhi Rani, Dr. P. V Subbaiah, Dr K. Chennakeasva reddy, “Smart Antenna
Algorithms for WCDMA Mobile Communication Systems” IJCSNS International Journal of
Computer Science and Network Security, Vol.8 No.7, July 2008.
[13]. Rameshwar Kawitkar, ”Issues in Deploying Smart Antennas in Mobile Radio
Networks” Proceedings of World Academy of Science, Engineering and Technology Vol 31
Jul 2008, ISSN 2070-3740.
[14]. Martin Cooper, Marc Goldburg, ”Intelligent Antennas: Spatial Division Multiple
Access” Annual Review of Communications, 1996.
[15]. Constantine A. Balanis, “Smart Antennas for Future Reconfigurable Wireless
Communication Networks” IEEE, 2003.
[16]. Cornelia-Ionela Badoi, Neeli Prasad, Victor Croitoru, Ramjee Prasad,”5G Based on

Cognitive Radio”, Springer Science + Business Media, LLC, 2010.
[17]. Na Yao, ”A CBR Approach for Radiation Pattern Control in WCDMA Networks Ph.D
Thesis ”Department of Electronic Engineering Queen Mary, University of London January
2007.

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