SlideShare a Scribd company logo
1 of 5
Download to read offline
IOSR Journal of Electronics and Communication Engineering (IOSR-JECE)
e-ISSN: 2278-2834,p- ISSN: 2278-8735.Volume 6, Issue 2 (May. - Jun. 2013), PP 94-98
www.iosrjournals.org
www.iosrjournals.org 94 | Page
Performance Improvement of IEEE 802.22 WRAN
Physical Layer
Sharad Jain1
, Raksha Upadhyay2
1
(Electronics and Communication Engineering, Lord Krishna College of Technology/ RGPV, India)
2
(Department of Electronics & Communication Engineering, IET/ DAVV, India)
Abstract: The spectrum available for the wireless services is limited, the increased demand of wireless
application has put a lot of limitations on the utilization of available radio spectrum. For the efficient spectrum
utilization for wireless application IEEE 802.22 standard i.e. WRAN (Wireless Regional Area Network) is
developed which is based on cognitive radio technique that senses the free available spectrum. It allows sharing
of geographically unused channels allocated to the TV Broadcast Service, without interference.
In this paper we are evaluating the performance of WRAN over physical layer with QPSK, 16-QAM
and 64-QAM modulation with Convolution coding with code rate of 1/2, 2/3, 3/4, 5/6 and obtaining the BER
curves for rician channel. Simulation is performed in MATLAB.
Keywords - CC, CP, CR, OFDMA, PHY Layer, WRAN
I. INTRODUCTION
The TV broadcast bands in the high-VHF/low-UHF range are ideal for covering large areas in sparsely
populated rural environments because of lower industrial noise and ionospheric reflections, reasonable antenna
sizes, and good non-line-of-sight (NLOS) propagation characteristics.
IEEE 802.22 is standard for wireless regional area network (WRAN) using white spaces the TV
frequency spectrum. The development of the IEEE 802.22 WRAN standard is aimed at using cognitive radio
(CR) techniques to allow sharing of geographically unused spectrum allocated to the television broadcast
service, on a non-interfering basis, to bring broadband and access to hard-to-reach, low population density area,
typical of rural environments, and is therefore timely and has the potential for a wide applicability worldwide.
CR effectively reuses the finite frequency resources by intelligent recognition of ideal frequency bands
using spectrum sensing [1][2][3]. IEEE 802.22 WRANs are designed to operate in the TV broadcast bands while
ensuring that no harmful interference is caused to the incumbent operation (i.e., digital TV and analog TV
broadcasting) and low-power licensed devices such as wireless microphones [4].
OFDMA is also a candidate access method for the IEEE 802.22 wireless regional area network.
WRAN is fixed point to multi-point (PMP) system and the base station (BS) and the Consumer premise
Equipments (CPEs) can be connected with each other in both line-of-sight (LOS) and non line-of-sight (NLOS)
situations. The standard typical support range is 30 km. meeting the demands of rural areas, but based on
propagation conditions it may cover up to 100 km. The minimum data rate of the system is 1.5 Mb/s in the
downstream direction, i.e. from BS to CPE and 384 kb/s in the upstream direction, i.e. from CPE to BS. It is
expected that a BS supports up to 255 CPEs[8].
II. ROLE OF PHYSICAL LAYER AND MAC LAYER
The physical layer & MAC layer performs important task in the operation of WRAN.
The physical layer must be able to adapt to different conditions. Also it should be flexible for switching from
one channel to another without error in Transmission and hence this feature of physical layer is known as
dynamic frequency hopping required for adjusting the band width dynamically, modulation and coding scheme.
Physical layer is responsible for transmission of Data. MAC layer is based on cognitive Radio
technology. The MAC layer has two structures namely frame and super frame. A super frame will be formed by
no. of frames. The Super Frame will have a super frame control header and a preamble. These will be sent by
the base station in every channel.
III. PHYSICAL LAYER SPECIFICATION
The physical layer of IEEE 802.22 is more or less similar to IEEE 802.16e and is based on OFDMA
scheme in the Time Division Duplex (TDD) mode. In the future, It is expected to use Frequency Division
Duplex mode (FDD).
The mandatory code for Forward Error Correction is Binary Convolution coding with code rate ½. Other
optional codes are Convolution Turbo code (CTC), Shortened Block Turbo Code (SBTC), and Low Density
Performance improvement of IEEE 802.22 WRAN Physical layer
www.iosrjournals.org 95 | Page
Parity Check Code (LDPC) to increase the performance. To achieve faster data rate in low noise channels,
puncturing can be used to achieve code rates of 2/3, 3/4, and 5/6[5].
There are fourteen modes of transmission, twelve of which are dedicated to data. The digital modulation
types used in this standard are QPSK, 16-QAM, and 64-QAM. OFDMA symbols are created using the 2048 FFT
on 6, 7, and 8 MHz bandwidths which consist of 1440 data subcarriers, 240 pilot carriers, and 368 guards and DC
subcarriers [6]. The cyclic prefix length can be 1/4, 1/8, 1/16, and 1/32 of OFDMA symbol duration.
IV. IEEE 802.22 PHY LAYER SYSTEM MODEL OVERVIEW
It supports multiple physical specifications. The 802.22 OFDMA PHY is based on OFDMA modulation, which
includes OFDM modulation & subcarrier allocation.
1. OFDMA
OFDMA is the multi user version of OFDM. OFDM belongs to a special transmission scheme of
multicarrier modulation in which high bit rate data stream is divided into several parallel lower bit rate streams.
Each stream is modulated on separate carrier called, subcarriers. OFDM is the most spectral efficient version of
the multicarrier modulation. In OFDM all the subcarrier are orthogonal to each other over one symbol duration.
Because of the orthogonality there is no need of non overlapping subcarriers to eliminate the ICI [7] now the
subcarriers overlap to each other thus saves the bandwidth. The no. of subcarriers in the OFDMA symbol is
always the size of FFT. There are no. of subcarriers in the OFDMA symbol as follows
 Data carriers- carries the useful data
 Null carriers-no data is transmitted on these carriers & are used to prevent leakage of energy into
adjacent channels
 Pilot carrier -are used for channel estimation & synchronization purpose.
In OFDMA to enable the multiple access sub channels are used which are formed by grouping the data
subcarriers. The all subcarrier that are used to make a subchannel are distributed across all the subcarriers.
Number of different subchannels are allocated to the particular user in order to send & receive data. There are
two parts in one OFDMA symbol in time domain. The cyclic prefix (CP) time & useful symbol time. CP is used
to remove the effect of ISI & ICI in multipath scenario.
CP is the copy of the last part of the OFDM symbol which is appended in the front of the transmitted
OFDM symbol . The length of CP or guard time interval must be chosen such that it is longer than the
maximum delay spread of the multipath channel[7]. The figure 1 shows the advantage of CP.
Fig. 1- Cyclic Prefix addition
2. Simulation Model
Fig.2-Simulation setup for PHY layer
2.1 Random Data Generation
Random binary data is generated here for simulation purpose.
Performance improvement of IEEE 802.22 WRAN Physical layer
www.iosrjournals.org 96 | Page
2.2 Randomizer
Convert the binary sequence to the random sequence to avoid long sequence of „0‟ & „1‟ to improve
Synchronization.
2.3 FEC coding
Convolution code with code rate 1/2 , 2/3, 3/4 and 5/6 is used as FEC.
2.4 Interleaver
It rearranges the ordering of the sequence of the symbols in predefined manner. Two types of interleaving are
used i.e. Time Interleaving & Frequency interleaving.
2.5 Modulator
QPSK, 16-QAM, and 64-QAM modulations are used for simulation.
2.6 Buffer
Buffer is used to stack the data.
2.7 Subcarrier allocation
Pilots and guard subcarrier are inserted in this stage.
2.8 IFFT
Inverse fast Fourier Transform converts the frequency domain data set into corresponding time domain. It also
generates the sample of the waveform which satisfies the condition of orthogonality.
2.9 Cyclic prefi
CP copies the last section of a symbol & paste it to the beginning of symbol. After these operations the data are
delivered to the channel[8].
2.10 Channel
RICIAN channel is used for simulation in this paper.
3. Forward error correction
Convolution code with code rate ½ is the only mandatory code for WRAN system. They operate on
data stream, not static block.
Convolutional codes have memory that uses previous bits to encode or decode following bit. It is denoted by
(n,k,L) where L is the memory depth. In Matlab Trellis description is used to define encoder connections.
Viterbi algorithm is used for decoding.
V. SIMULATION PARAMETER
Total no. of subcarriers: 2048
No. of guard subcarriers: 368
No. of used subcarrier: 1680
No. of data subcarriers: 1440
No. of pilot subcarriers: 240
Guard time to useful symbol time ratio: 1/8
VI. Results
As shown in Fig 3, the uncoded BER curves obtained by simulation. Since the FEC blocks are not
applied to the data in this case, differences in code rates have no effect on results. In order to investigate the
effect of FEC blocks on the system performance, convolutional coding is used.
Fig.3- Uncoded BER for QPSK, 16-QAM, and 64-QAM
Figs. 4, 5, and 6 show simulation results of the system coded BER versus SNR with different code rates for
QPSK, 16-QAM, and 64-QAM respectively. As expected, the BER of higher modulation schemes with high
data rates are more sensitive to SNR degradation. e.g. to achieve a BER equal to 10-2
in QPSK and ½ code rate,
Performance improvement of IEEE 802.22 WRAN Physical layer
www.iosrjournals.org 97 | Page
an SNR above 6.6dB is needed. .For 16-QAM and 3/4 code rate, an SNR above 16dB is needed. However for
64-QAM with 5/6 code rate the minimum required SNR is 22.5dB.
Fig.4- Coded BER for QPSK with different code rates
Fig.5- Coded BER for 16-QAM with different code rates
Fig.6 -Coded BER for 64-QAM with different code rates
VII. Conclusion
In this paper the PHY layer of IEEE 802.22 has been modeled in MATLAB. The BER curves for
different modulation schemes and code rates in rician channel are obtained by simulation According to BER
curves, It has concluded that for all modulation technique CC with code rate 1/2 gives significant performance
improvement to without coding and other higher code rate.
REFERENCES
[1] S.Haykin,”Cognitive radio: Brain empowered wireless communications”IEEE J. sel. Areas Comm.Vol.23, no.2, pp.201-220,
Feb.2005.
[2] J. Mitola,”Cognitive Radios: Making Software Radios more personal” IEEE Personal Communications, vol.6, no. 4, August1999
[3] J. Mitola,”Cognitive Radios: An integrated agent architecture for software defined radio”, PhD Dissersation, Royal inst.
Techno.(KTH),Stockholm,Sweden2000.
[4] Functional Requirements for the IEEE 802.22 WRAN standard, IEEE 802.22-05/0007r46, Sep.
Performance improvement of IEEE 802.22 WRAN Physical layer
www.iosrjournals.org 98 | Page
[5] C. Stevenson, G. Chouinard, L. Zhongding, H. Wendong, S. Shellhammer, and W. Caldwell, “IEEE 802.22: The First Cognitive Radio
Wireless Regional Area Network Standard”, IEEE Mag. Communications, vol 47, Jan. 2009, pp. 130-138,
doi:10.1109/MCOM.2009.4752688.
[6] S. H. Hwang, J. S. Um, M. S. Song, C. J. Kim, H. R. Park, and Y. H Kim, “Design and Verification of IEEE 802.22 WRAN
Physical Layer (Invited Paper) ,” Proc. International Conf. Cognitive Radio Oriented Wireless Networks and Communications
(Crown Com 08), IEEE Press, May. 2008, pp. 1-6,doi:10.1109/CROWNCOM. 2008.4562542
[7] Richard van Nee, Ramjee Prasad “OFDM for Wireless Multimedia Communication” Artech house publishers,2000.
[8] Ahmadi, M., Rohani, E., Naeeni, P.M., & Fakhraie, S.M.”Modelling & Performance Evaluation of IEEE 802.22 Physical layer”2nd
International Conference on future Computer and Communication- (2010).
[9] J. G. Proakis, Digital Communications, 3rd ed., vol. 2. McGraw-Hill: New York, 1995.

More Related Content

What's hot

LTE TDD Technology Overview
LTE TDD Technology OverviewLTE TDD Technology Overview
LTE TDD Technology OverviewGoing LTE
 
Wc & lte 4 g module 4- 2019 by prof.sv1
Wc & lte 4 g  module 4- 2019 by prof.sv1Wc & lte 4 g  module 4- 2019 by prof.sv1
Wc & lte 4 g module 4- 2019 by prof.sv1SURESHA V
 
Wcdma physical layer
Wcdma physical layerWcdma physical layer
Wcdma physical layerrajibratan
 
LTE in a Nutshell: Pysical Layer
LTE in a Nutshell: Pysical LayerLTE in a Nutshell: Pysical Layer
LTE in a Nutshell: Pysical LayerFrank Rayal
 
Sdh basics hand_outs_of_sdh_basics
Sdh basics hand_outs_of_sdh_basicsSdh basics hand_outs_of_sdh_basics
Sdh basics hand_outs_of_sdh_basicsPaul Andrew
 
OPTICAL SWITCHING CONTROLLER USING FPGA AS A CONTROLLER FOR OCDMA ENCODER SYSTEM
OPTICAL SWITCHING CONTROLLER USING FPGA AS A CONTROLLER FOR OCDMA ENCODER SYSTEMOPTICAL SWITCHING CONTROLLER USING FPGA AS A CONTROLLER FOR OCDMA ENCODER SYSTEM
OPTICAL SWITCHING CONTROLLER USING FPGA AS A CONTROLLER FOR OCDMA ENCODER SYSTEMEditor IJCATR
 
Long Range Cell Coverage for LTE
Long Range Cell Coverage for LTELong Range Cell Coverage for LTE
Long Range Cell Coverage for LTEYi-Hsueh Tsai
 
Wc nots final unit new 7
Wc nots final unit new  7Wc nots final unit new  7
Wc nots final unit new 7SURESHA V
 
Performance Evaluation of IEEE STD 802.16d Transceiver
Performance Evaluation of IEEE STD 802.16d TransceiverPerformance Evaluation of IEEE STD 802.16d Transceiver
Performance Evaluation of IEEE STD 802.16d TransceiverIOSR Journals
 

What's hot (18)

20120130406009 2
20120130406009 220120130406009 2
20120130406009 2
 
LTE TDD Technology Overview
LTE TDD Technology OverviewLTE TDD Technology Overview
LTE TDD Technology Overview
 
Wc & lte 4 g module 4- 2019 by prof.sv1
Wc & lte 4 g  module 4- 2019 by prof.sv1Wc & lte 4 g  module 4- 2019 by prof.sv1
Wc & lte 4 g module 4- 2019 by prof.sv1
 
Ff34970973
Ff34970973Ff34970973
Ff34970973
 
Wcdma physical layer
Wcdma physical layerWcdma physical layer
Wcdma physical layer
 
LTE in a Nutshell: Pysical Layer
LTE in a Nutshell: Pysical LayerLTE in a Nutshell: Pysical Layer
LTE in a Nutshell: Pysical Layer
 
Sdh basics hand_outs_of_sdh_basics
Sdh basics hand_outs_of_sdh_basicsSdh basics hand_outs_of_sdh_basics
Sdh basics hand_outs_of_sdh_basics
 
Dmrc Fiber Optics Transmission System
Dmrc Fiber Optics Transmission SystemDmrc Fiber Optics Transmission System
Dmrc Fiber Optics Transmission System
 
OPTICAL SWITCHING CONTROLLER USING FPGA AS A CONTROLLER FOR OCDMA ENCODER SYSTEM
OPTICAL SWITCHING CONTROLLER USING FPGA AS A CONTROLLER FOR OCDMA ENCODER SYSTEMOPTICAL SWITCHING CONTROLLER USING FPGA AS A CONTROLLER FOR OCDMA ENCODER SYSTEM
OPTICAL SWITCHING CONTROLLER USING FPGA AS A CONTROLLER FOR OCDMA ENCODER SYSTEM
 
14 wcdma
14 wcdma14 wcdma
14 wcdma
 
Ijebea14 238
Ijebea14 238Ijebea14 238
Ijebea14 238
 
Long Range Cell Coverage for LTE
Long Range Cell Coverage for LTELong Range Cell Coverage for LTE
Long Range Cell Coverage for LTE
 
LTE Cell Planning
LTE Cell PlanningLTE Cell Planning
LTE Cell Planning
 
LTE INTRO
LTE INTROLTE INTRO
LTE INTRO
 
Wc nots final unit new 7
Wc nots final unit new  7Wc nots final unit new  7
Wc nots final unit new 7
 
Thesis of sdh
Thesis of sdhThesis of sdh
Thesis of sdh
 
Wireless Networks
Wireless NetworksWireless Networks
Wireless Networks
 
Performance Evaluation of IEEE STD 802.16d Transceiver
Performance Evaluation of IEEE STD 802.16d TransceiverPerformance Evaluation of IEEE STD 802.16d Transceiver
Performance Evaluation of IEEE STD 802.16d Transceiver
 

Viewers also liked

Polymerase Chain Reaction (PCR)-Based Sex Determination Using Unembalmed Huma...
Polymerase Chain Reaction (PCR)-Based Sex Determination Using Unembalmed Huma...Polymerase Chain Reaction (PCR)-Based Sex Determination Using Unembalmed Huma...
Polymerase Chain Reaction (PCR)-Based Sex Determination Using Unembalmed Huma...IOSR Journals
 
DOKUMEN PERUSAHAAN DI BIDANG IMPORT :
DOKUMEN PERUSAHAAN DI BIDANG IMPORT :DOKUMEN PERUSAHAAN DI BIDANG IMPORT :
DOKUMEN PERUSAHAAN DI BIDANG IMPORT :legalservice
 
LordJeshuainheritancemay2016
LordJeshuainheritancemay2016LordJeshuainheritancemay2016
LordJeshuainheritancemay2016Lord Jesus Christ
 
Best Approximation in Real Linear 2-Normed Spaces
Best Approximation in Real Linear 2-Normed SpacesBest Approximation in Real Linear 2-Normed Spaces
Best Approximation in Real Linear 2-Normed SpacesIOSR Journals
 
Antibacterial Activity of Stem Bark Extracts of Oroxylum indicum an Endangere...
Antibacterial Activity of Stem Bark Extracts of Oroxylum indicum an Endangere...Antibacterial Activity of Stem Bark Extracts of Oroxylum indicum an Endangere...
Antibacterial Activity of Stem Bark Extracts of Oroxylum indicum an Endangere...IOSR Journals
 
Madcom analyzes bermuda ftth design
Madcom analyzes bermuda ftth designMadcom analyzes bermuda ftth design
Madcom analyzes bermuda ftth designRich Frank
 
FailureofDiplomacy-Iran
FailureofDiplomacy-IranFailureofDiplomacy-Iran
FailureofDiplomacy-IranNeal Young
 

Viewers also liked (20)

M012228693
M012228693M012228693
M012228693
 
Polymerase Chain Reaction (PCR)-Based Sex Determination Using Unembalmed Huma...
Polymerase Chain Reaction (PCR)-Based Sex Determination Using Unembalmed Huma...Polymerase Chain Reaction (PCR)-Based Sex Determination Using Unembalmed Huma...
Polymerase Chain Reaction (PCR)-Based Sex Determination Using Unembalmed Huma...
 
DOKUMEN PERUSAHAAN DI BIDANG IMPORT :
DOKUMEN PERUSAHAAN DI BIDANG IMPORT :DOKUMEN PERUSAHAAN DI BIDANG IMPORT :
DOKUMEN PERUSAHAAN DI BIDANG IMPORT :
 
PE INTAN KASAR
PE INTAN KASARPE INTAN KASAR
PE INTAN KASAR
 
Cell Division
Cell DivisionCell Division
Cell Division
 
H1304015157
H1304015157H1304015157
H1304015157
 
LordJeshuainheritancemay2016
LordJeshuainheritancemay2016LordJeshuainheritancemay2016
LordJeshuainheritancemay2016
 
D012531923
D012531923D012531923
D012531923
 
Best Approximation in Real Linear 2-Normed Spaces
Best Approximation in Real Linear 2-Normed SpacesBest Approximation in Real Linear 2-Normed Spaces
Best Approximation in Real Linear 2-Normed Spaces
 
D010312230
D010312230D010312230
D010312230
 
R130304103108
R130304103108R130304103108
R130304103108
 
E1303021829
E1303021829E1303021829
E1303021829
 
Antibacterial Activity of Stem Bark Extracts of Oroxylum indicum an Endangere...
Antibacterial Activity of Stem Bark Extracts of Oroxylum indicum an Endangere...Antibacterial Activity of Stem Bark Extracts of Oroxylum indicum an Endangere...
Antibacterial Activity of Stem Bark Extracts of Oroxylum indicum an Endangere...
 
N010527986
N010527986N010527986
N010527986
 
C010521418
C010521418C010521418
C010521418
 
E012233643
E012233643E012233643
E012233643
 
NPWP
NPWPNPWP
NPWP
 
Question 1
Question 1Question 1
Question 1
 
Madcom analyzes bermuda ftth design
Madcom analyzes bermuda ftth designMadcom analyzes bermuda ftth design
Madcom analyzes bermuda ftth design
 
FailureofDiplomacy-Iran
FailureofDiplomacy-IranFailureofDiplomacy-Iran
FailureofDiplomacy-Iran
 

Similar to Performance Improvement of IEEE 802.22 WRAN Physical Layer

The Performance Evaluation of IEEE 802.16 Physical Layer in the Basis of Bit ...
The Performance Evaluation of IEEE 802.16 Physical Layer in the Basis of Bit ...The Performance Evaluation of IEEE 802.16 Physical Layer in the Basis of Bit ...
The Performance Evaluation of IEEE 802.16 Physical Layer in the Basis of Bit ...IJCI JOURNAL
 
ESTIMATION AND COMPENSATION OF INTER CARRIER INTERFERENCE IN WIMAX PHYSICAL L...
ESTIMATION AND COMPENSATION OF INTER CARRIER INTERFERENCE IN WIMAX PHYSICAL L...ESTIMATION AND COMPENSATION OF INTER CARRIER INTERFERENCE IN WIMAX PHYSICAL L...
ESTIMATION AND COMPENSATION OF INTER CARRIER INTERFERENCE IN WIMAX PHYSICAL L...ijngnjournal
 
Iaetsd ber performance of cdma, wcdma, ieee802.11g in awgn
Iaetsd ber performance of cdma, wcdma, ieee802.11g in awgnIaetsd ber performance of cdma, wcdma, ieee802.11g in awgn
Iaetsd ber performance of cdma, wcdma, ieee802.11g in awgnIaetsd Iaetsd
 
Implementation of High Speed OFDM Transceiver using FPGA
Implementation of High Speed OFDM Transceiver using FPGAImplementation of High Speed OFDM Transceiver using FPGA
Implementation of High Speed OFDM Transceiver using FPGAMangaiK4
 
Analysis of Women Harassment inVillages Using CETD Matrix Modal
Analysis of Women Harassment inVillages Using CETD Matrix ModalAnalysis of Women Harassment inVillages Using CETD Matrix Modal
Analysis of Women Harassment inVillages Using CETD Matrix ModalMangaiK4
 
Performance Analysis of BER and Throughput of Different MIMO Systems using Di...
Performance Analysis of BER and Throughput of Different MIMO Systems using Di...Performance Analysis of BER and Throughput of Different MIMO Systems using Di...
Performance Analysis of BER and Throughput of Different MIMO Systems using Di...IRJET Journal
 
Hybrid ldpc and stbc algorithms to improve ber reduction in ofdm
Hybrid ldpc and stbc algorithms to improve ber reduction in ofdmHybrid ldpc and stbc algorithms to improve ber reduction in ofdm
Hybrid ldpc and stbc algorithms to improve ber reduction in ofdmIAEME Publication
 
PERFORMANCE OF WIMAX PHYSICAL LAYER WITH VARIATIONS IN CHANNEL CODING AND DIG...
PERFORMANCE OF WIMAX PHYSICAL LAYER WITH VARIATIONS IN CHANNEL CODING AND DIG...PERFORMANCE OF WIMAX PHYSICAL LAYER WITH VARIATIONS IN CHANNEL CODING AND DIG...
PERFORMANCE OF WIMAX PHYSICAL LAYER WITH VARIATIONS IN CHANNEL CODING AND DIG...ijistjournal
 
PERFORMANCE OF WIMAX PHYSICAL LAYER WITH VARIATIONS IN CHANNEL CODING AND DIG...
PERFORMANCE OF WIMAX PHYSICAL LAYER WITH VARIATIONS IN CHANNEL CODING AND DIG...PERFORMANCE OF WIMAX PHYSICAL LAYER WITH VARIATIONS IN CHANNEL CODING AND DIG...
PERFORMANCE OF WIMAX PHYSICAL LAYER WITH VARIATIONS IN CHANNEL CODING AND DIG...ijistjournal
 
IRJET- Survey Paper on Performance Evaluation of 5G WiMAX (IEEE 802.16) Syste...
IRJET- Survey Paper on Performance Evaluation of 5G WiMAX (IEEE 802.16) Syste...IRJET- Survey Paper on Performance Evaluation of 5G WiMAX (IEEE 802.16) Syste...
IRJET- Survey Paper on Performance Evaluation of 5G WiMAX (IEEE 802.16) Syste...IRJET Journal
 
Comparative study of_digital_modulation (1)
Comparative study of_digital_modulation (1)Comparative study of_digital_modulation (1)
Comparative study of_digital_modulation (1)Bindia Kumari
 
Performance Evaluation of IEEE STD 802.16d Transceiver
Performance Evaluation of IEEE STD 802.16d TransceiverPerformance Evaluation of IEEE STD 802.16d Transceiver
Performance Evaluation of IEEE STD 802.16d TransceiverIOSR Journals
 
Channel Coding and Clipping in OFDM for WiMAX using SDR
Channel Coding and Clipping in OFDM for WiMAX using SDRChannel Coding and Clipping in OFDM for WiMAX using SDR
Channel Coding and Clipping in OFDM for WiMAX using SDRidescitation
 
A simulation study of wi max based communication system using deliberately cl...
A simulation study of wi max based communication system using deliberately cl...A simulation study of wi max based communication system using deliberately cl...
A simulation study of wi max based communication system using deliberately cl...eSAT Publishing House
 

Similar to Performance Improvement of IEEE 802.22 WRAN Physical Layer (20)

The Performance Evaluation of IEEE 802.16 Physical Layer in the Basis of Bit ...
The Performance Evaluation of IEEE 802.16 Physical Layer in the Basis of Bit ...The Performance Evaluation of IEEE 802.16 Physical Layer in the Basis of Bit ...
The Performance Evaluation of IEEE 802.16 Physical Layer in the Basis of Bit ...
 
ESTIMATION AND COMPENSATION OF INTER CARRIER INTERFERENCE IN WIMAX PHYSICAL L...
ESTIMATION AND COMPENSATION OF INTER CARRIER INTERFERENCE IN WIMAX PHYSICAL L...ESTIMATION AND COMPENSATION OF INTER CARRIER INTERFERENCE IN WIMAX PHYSICAL L...
ESTIMATION AND COMPENSATION OF INTER CARRIER INTERFERENCE IN WIMAX PHYSICAL L...
 
N010328691
N010328691N010328691
N010328691
 
Iaetsd ber performance of cdma, wcdma, ieee802.11g in awgn
Iaetsd ber performance of cdma, wcdma, ieee802.11g in awgnIaetsd ber performance of cdma, wcdma, ieee802.11g in awgn
Iaetsd ber performance of cdma, wcdma, ieee802.11g in awgn
 
Implementation of High Speed OFDM Transceiver using FPGA
Implementation of High Speed OFDM Transceiver using FPGAImplementation of High Speed OFDM Transceiver using FPGA
Implementation of High Speed OFDM Transceiver using FPGA
 
Analysis of Women Harassment inVillages Using CETD Matrix Modal
Analysis of Women Harassment inVillages Using CETD Matrix ModalAnalysis of Women Harassment inVillages Using CETD Matrix Modal
Analysis of Women Harassment inVillages Using CETD Matrix Modal
 
Performance Analysis of BER and Throughput of Different MIMO Systems using Di...
Performance Analysis of BER and Throughput of Different MIMO Systems using Di...Performance Analysis of BER and Throughput of Different MIMO Systems using Di...
Performance Analysis of BER and Throughput of Different MIMO Systems using Di...
 
Hybrid ldpc and stbc algorithms to improve ber reduction in ofdm
Hybrid ldpc and stbc algorithms to improve ber reduction in ofdmHybrid ldpc and stbc algorithms to improve ber reduction in ofdm
Hybrid ldpc and stbc algorithms to improve ber reduction in ofdm
 
Turbo encoder and decoder chip design and FPGA device analysis for communicat...
Turbo encoder and decoder chip design and FPGA device analysis for communicat...Turbo encoder and decoder chip design and FPGA device analysis for communicat...
Turbo encoder and decoder chip design and FPGA device analysis for communicat...
 
Hv3414491454
Hv3414491454Hv3414491454
Hv3414491454
 
B0530714
B0530714B0530714
B0530714
 
PERFORMANCE OF WIMAX PHYSICAL LAYER WITH VARIATIONS IN CHANNEL CODING AND DIG...
PERFORMANCE OF WIMAX PHYSICAL LAYER WITH VARIATIONS IN CHANNEL CODING AND DIG...PERFORMANCE OF WIMAX PHYSICAL LAYER WITH VARIATIONS IN CHANNEL CODING AND DIG...
PERFORMANCE OF WIMAX PHYSICAL LAYER WITH VARIATIONS IN CHANNEL CODING AND DIG...
 
PERFORMANCE OF WIMAX PHYSICAL LAYER WITH VARIATIONS IN CHANNEL CODING AND DIG...
PERFORMANCE OF WIMAX PHYSICAL LAYER WITH VARIATIONS IN CHANNEL CODING AND DIG...PERFORMANCE OF WIMAX PHYSICAL LAYER WITH VARIATIONS IN CHANNEL CODING AND DIG...
PERFORMANCE OF WIMAX PHYSICAL LAYER WITH VARIATIONS IN CHANNEL CODING AND DIG...
 
IRJET- Survey Paper on Performance Evaluation of 5G WiMAX (IEEE 802.16) Syste...
IRJET- Survey Paper on Performance Evaluation of 5G WiMAX (IEEE 802.16) Syste...IRJET- Survey Paper on Performance Evaluation of 5G WiMAX (IEEE 802.16) Syste...
IRJET- Survey Paper on Performance Evaluation of 5G WiMAX (IEEE 802.16) Syste...
 
Comparative study of_digital_modulation (1)
Comparative study of_digital_modulation (1)Comparative study of_digital_modulation (1)
Comparative study of_digital_modulation (1)
 
Performance Evaluation of IEEE STD 802.16d Transceiver
Performance Evaluation of IEEE STD 802.16d TransceiverPerformance Evaluation of IEEE STD 802.16d Transceiver
Performance Evaluation of IEEE STD 802.16d Transceiver
 
Channel Coding and Clipping in OFDM for WiMAX using SDR
Channel Coding and Clipping in OFDM for WiMAX using SDRChannel Coding and Clipping in OFDM for WiMAX using SDR
Channel Coding and Clipping in OFDM for WiMAX using SDR
 
I017446164
I017446164I017446164
I017446164
 
50120130405012
5012013040501250120130405012
50120130405012
 
A simulation study of wi max based communication system using deliberately cl...
A simulation study of wi max based communication system using deliberately cl...A simulation study of wi max based communication system using deliberately cl...
A simulation study of wi max based communication system using deliberately cl...
 

More from IOSR Journals (20)

A011140104
A011140104A011140104
A011140104
 
M0111397100
M0111397100M0111397100
M0111397100
 
L011138596
L011138596L011138596
L011138596
 
K011138084
K011138084K011138084
K011138084
 
J011137479
J011137479J011137479
J011137479
 
I011136673
I011136673I011136673
I011136673
 
G011134454
G011134454G011134454
G011134454
 
H011135565
H011135565H011135565
H011135565
 
F011134043
F011134043F011134043
F011134043
 
E011133639
E011133639E011133639
E011133639
 
D011132635
D011132635D011132635
D011132635
 
C011131925
C011131925C011131925
C011131925
 
B011130918
B011130918B011130918
B011130918
 
A011130108
A011130108A011130108
A011130108
 
I011125160
I011125160I011125160
I011125160
 
H011124050
H011124050H011124050
H011124050
 
G011123539
G011123539G011123539
G011123539
 
F011123134
F011123134F011123134
F011123134
 
E011122530
E011122530E011122530
E011122530
 
D011121524
D011121524D011121524
D011121524
 

Recently uploaded

TechTAC® CFD Report Summary: A Comparison of Two Types of Tubing Anchor Catchers
TechTAC® CFD Report Summary: A Comparison of Two Types of Tubing Anchor CatchersTechTAC® CFD Report Summary: A Comparison of Two Types of Tubing Anchor Catchers
TechTAC® CFD Report Summary: A Comparison of Two Types of Tubing Anchor Catcherssdickerson1
 
Introduction-To-Agricultural-Surveillance-Rover.pptx
Introduction-To-Agricultural-Surveillance-Rover.pptxIntroduction-To-Agricultural-Surveillance-Rover.pptx
Introduction-To-Agricultural-Surveillance-Rover.pptxk795866
 
Application of Residue Theorem to evaluate real integrations.pptx
Application of Residue Theorem to evaluate real integrations.pptxApplication of Residue Theorem to evaluate real integrations.pptx
Application of Residue Theorem to evaluate real integrations.pptx959SahilShah
 
main PPT.pptx of girls hostel security using rfid
main PPT.pptx of girls hostel security using rfidmain PPT.pptx of girls hostel security using rfid
main PPT.pptx of girls hostel security using rfidNikhilNagaraju
 
CCS355 Neural Networks & Deep Learning Unit 1 PDF notes with Question bank .pdf
CCS355 Neural Networks & Deep Learning Unit 1 PDF notes with Question bank .pdfCCS355 Neural Networks & Deep Learning Unit 1 PDF notes with Question bank .pdf
CCS355 Neural Networks & Deep Learning Unit 1 PDF notes with Question bank .pdfAsst.prof M.Gokilavani
 
complete construction, environmental and economics information of biomass com...
complete construction, environmental and economics information of biomass com...complete construction, environmental and economics information of biomass com...
complete construction, environmental and economics information of biomass com...asadnawaz62
 
Decoding Kotlin - Your guide to solving the mysterious in Kotlin.pptx
Decoding Kotlin - Your guide to solving the mysterious in Kotlin.pptxDecoding Kotlin - Your guide to solving the mysterious in Kotlin.pptx
Decoding Kotlin - Your guide to solving the mysterious in Kotlin.pptxJoão Esperancinha
 
Oxy acetylene welding presentation note.
Oxy acetylene welding presentation note.Oxy acetylene welding presentation note.
Oxy acetylene welding presentation note.eptoze12
 
An experimental study in using natural admixture as an alternative for chemic...
An experimental study in using natural admixture as an alternative for chemic...An experimental study in using natural admixture as an alternative for chemic...
An experimental study in using natural admixture as an alternative for chemic...Chandu841456
 
Heart Disease Prediction using machine learning.pptx
Heart Disease Prediction using machine learning.pptxHeart Disease Prediction using machine learning.pptx
Heart Disease Prediction using machine learning.pptxPoojaBan
 
IVE Industry Focused Event - Defence Sector 2024
IVE Industry Focused Event - Defence Sector 2024IVE Industry Focused Event - Defence Sector 2024
IVE Industry Focused Event - Defence Sector 2024Mark Billinghurst
 
Study on Air-Water & Water-Water Heat Exchange in a Finned Tube Exchanger
Study on Air-Water & Water-Water Heat Exchange in a Finned Tube ExchangerStudy on Air-Water & Water-Water Heat Exchange in a Finned Tube Exchanger
Study on Air-Water & Water-Water Heat Exchange in a Finned Tube ExchangerAnamika Sarkar
 
Artificial-Intelligence-in-Electronics (K).pptx
Artificial-Intelligence-in-Electronics (K).pptxArtificial-Intelligence-in-Electronics (K).pptx
Artificial-Intelligence-in-Electronics (K).pptxbritheesh05
 
Arduino_CSE ece ppt for working and principal of arduino.ppt
Arduino_CSE ece ppt for working and principal of arduino.pptArduino_CSE ece ppt for working and principal of arduino.ppt
Arduino_CSE ece ppt for working and principal of arduino.pptSAURABHKUMAR892774
 
Gurgaon ✡️9711147426✨Call In girls Gurgaon Sector 51 escort service
Gurgaon ✡️9711147426✨Call In girls Gurgaon Sector 51 escort serviceGurgaon ✡️9711147426✨Call In girls Gurgaon Sector 51 escort service
Gurgaon ✡️9711147426✨Call In girls Gurgaon Sector 51 escort servicejennyeacort
 
Why does (not) Kafka need fsync: Eliminating tail latency spikes caused by fsync
Why does (not) Kafka need fsync: Eliminating tail latency spikes caused by fsyncWhy does (not) Kafka need fsync: Eliminating tail latency spikes caused by fsync
Why does (not) Kafka need fsync: Eliminating tail latency spikes caused by fsyncssuser2ae721
 
Biology for Computer Engineers Course Handout.pptx
Biology for Computer Engineers Course Handout.pptxBiology for Computer Engineers Course Handout.pptx
Biology for Computer Engineers Course Handout.pptxDeepakSakkari2
 

Recently uploaded (20)

TechTAC® CFD Report Summary: A Comparison of Two Types of Tubing Anchor Catchers
TechTAC® CFD Report Summary: A Comparison of Two Types of Tubing Anchor CatchersTechTAC® CFD Report Summary: A Comparison of Two Types of Tubing Anchor Catchers
TechTAC® CFD Report Summary: A Comparison of Two Types of Tubing Anchor Catchers
 
Introduction-To-Agricultural-Surveillance-Rover.pptx
Introduction-To-Agricultural-Surveillance-Rover.pptxIntroduction-To-Agricultural-Surveillance-Rover.pptx
Introduction-To-Agricultural-Surveillance-Rover.pptx
 
Application of Residue Theorem to evaluate real integrations.pptx
Application of Residue Theorem to evaluate real integrations.pptxApplication of Residue Theorem to evaluate real integrations.pptx
Application of Residue Theorem to evaluate real integrations.pptx
 
main PPT.pptx of girls hostel security using rfid
main PPT.pptx of girls hostel security using rfidmain PPT.pptx of girls hostel security using rfid
main PPT.pptx of girls hostel security using rfid
 
CCS355 Neural Networks & Deep Learning Unit 1 PDF notes with Question bank .pdf
CCS355 Neural Networks & Deep Learning Unit 1 PDF notes with Question bank .pdfCCS355 Neural Networks & Deep Learning Unit 1 PDF notes with Question bank .pdf
CCS355 Neural Networks & Deep Learning Unit 1 PDF notes with Question bank .pdf
 
complete construction, environmental and economics information of biomass com...
complete construction, environmental and economics information of biomass com...complete construction, environmental and economics information of biomass com...
complete construction, environmental and economics information of biomass com...
 
Decoding Kotlin - Your guide to solving the mysterious in Kotlin.pptx
Decoding Kotlin - Your guide to solving the mysterious in Kotlin.pptxDecoding Kotlin - Your guide to solving the mysterious in Kotlin.pptx
Decoding Kotlin - Your guide to solving the mysterious in Kotlin.pptx
 
Oxy acetylene welding presentation note.
Oxy acetylene welding presentation note.Oxy acetylene welding presentation note.
Oxy acetylene welding presentation note.
 
An experimental study in using natural admixture as an alternative for chemic...
An experimental study in using natural admixture as an alternative for chemic...An experimental study in using natural admixture as an alternative for chemic...
An experimental study in using natural admixture as an alternative for chemic...
 
Heart Disease Prediction using machine learning.pptx
Heart Disease Prediction using machine learning.pptxHeart Disease Prediction using machine learning.pptx
Heart Disease Prediction using machine learning.pptx
 
IVE Industry Focused Event - Defence Sector 2024
IVE Industry Focused Event - Defence Sector 2024IVE Industry Focused Event - Defence Sector 2024
IVE Industry Focused Event - Defence Sector 2024
 
Study on Air-Water & Water-Water Heat Exchange in a Finned Tube Exchanger
Study on Air-Water & Water-Water Heat Exchange in a Finned Tube ExchangerStudy on Air-Water & Water-Water Heat Exchange in a Finned Tube Exchanger
Study on Air-Water & Water-Water Heat Exchange in a Finned Tube Exchanger
 
Artificial-Intelligence-in-Electronics (K).pptx
Artificial-Intelligence-in-Electronics (K).pptxArtificial-Intelligence-in-Electronics (K).pptx
Artificial-Intelligence-in-Electronics (K).pptx
 
POWER SYSTEMS-1 Complete notes examples
POWER SYSTEMS-1 Complete notes  examplesPOWER SYSTEMS-1 Complete notes  examples
POWER SYSTEMS-1 Complete notes examples
 
young call girls in Rajiv Chowk🔝 9953056974 🔝 Delhi escort Service
young call girls in Rajiv Chowk🔝 9953056974 🔝 Delhi escort Serviceyoung call girls in Rajiv Chowk🔝 9953056974 🔝 Delhi escort Service
young call girls in Rajiv Chowk🔝 9953056974 🔝 Delhi escort Service
 
Arduino_CSE ece ppt for working and principal of arduino.ppt
Arduino_CSE ece ppt for working and principal of arduino.pptArduino_CSE ece ppt for working and principal of arduino.ppt
Arduino_CSE ece ppt for working and principal of arduino.ppt
 
Gurgaon ✡️9711147426✨Call In girls Gurgaon Sector 51 escort service
Gurgaon ✡️9711147426✨Call In girls Gurgaon Sector 51 escort serviceGurgaon ✡️9711147426✨Call In girls Gurgaon Sector 51 escort service
Gurgaon ✡️9711147426✨Call In girls Gurgaon Sector 51 escort service
 
Why does (not) Kafka need fsync: Eliminating tail latency spikes caused by fsync
Why does (not) Kafka need fsync: Eliminating tail latency spikes caused by fsyncWhy does (not) Kafka need fsync: Eliminating tail latency spikes caused by fsync
Why does (not) Kafka need fsync: Eliminating tail latency spikes caused by fsync
 
Exploring_Network_Security_with_JA3_by_Rakesh Seal.pptx
Exploring_Network_Security_with_JA3_by_Rakesh Seal.pptxExploring_Network_Security_with_JA3_by_Rakesh Seal.pptx
Exploring_Network_Security_with_JA3_by_Rakesh Seal.pptx
 
Biology for Computer Engineers Course Handout.pptx
Biology for Computer Engineers Course Handout.pptxBiology for Computer Engineers Course Handout.pptx
Biology for Computer Engineers Course Handout.pptx
 

Performance Improvement of IEEE 802.22 WRAN Physical Layer

  • 1. IOSR Journal of Electronics and Communication Engineering (IOSR-JECE) e-ISSN: 2278-2834,p- ISSN: 2278-8735.Volume 6, Issue 2 (May. - Jun. 2013), PP 94-98 www.iosrjournals.org www.iosrjournals.org 94 | Page Performance Improvement of IEEE 802.22 WRAN Physical Layer Sharad Jain1 , Raksha Upadhyay2 1 (Electronics and Communication Engineering, Lord Krishna College of Technology/ RGPV, India) 2 (Department of Electronics & Communication Engineering, IET/ DAVV, India) Abstract: The spectrum available for the wireless services is limited, the increased demand of wireless application has put a lot of limitations on the utilization of available radio spectrum. For the efficient spectrum utilization for wireless application IEEE 802.22 standard i.e. WRAN (Wireless Regional Area Network) is developed which is based on cognitive radio technique that senses the free available spectrum. It allows sharing of geographically unused channels allocated to the TV Broadcast Service, without interference. In this paper we are evaluating the performance of WRAN over physical layer with QPSK, 16-QAM and 64-QAM modulation with Convolution coding with code rate of 1/2, 2/3, 3/4, 5/6 and obtaining the BER curves for rician channel. Simulation is performed in MATLAB. Keywords - CC, CP, CR, OFDMA, PHY Layer, WRAN I. INTRODUCTION The TV broadcast bands in the high-VHF/low-UHF range are ideal for covering large areas in sparsely populated rural environments because of lower industrial noise and ionospheric reflections, reasonable antenna sizes, and good non-line-of-sight (NLOS) propagation characteristics. IEEE 802.22 is standard for wireless regional area network (WRAN) using white spaces the TV frequency spectrum. The development of the IEEE 802.22 WRAN standard is aimed at using cognitive radio (CR) techniques to allow sharing of geographically unused spectrum allocated to the television broadcast service, on a non-interfering basis, to bring broadband and access to hard-to-reach, low population density area, typical of rural environments, and is therefore timely and has the potential for a wide applicability worldwide. CR effectively reuses the finite frequency resources by intelligent recognition of ideal frequency bands using spectrum sensing [1][2][3]. IEEE 802.22 WRANs are designed to operate in the TV broadcast bands while ensuring that no harmful interference is caused to the incumbent operation (i.e., digital TV and analog TV broadcasting) and low-power licensed devices such as wireless microphones [4]. OFDMA is also a candidate access method for the IEEE 802.22 wireless regional area network. WRAN is fixed point to multi-point (PMP) system and the base station (BS) and the Consumer premise Equipments (CPEs) can be connected with each other in both line-of-sight (LOS) and non line-of-sight (NLOS) situations. The standard typical support range is 30 km. meeting the demands of rural areas, but based on propagation conditions it may cover up to 100 km. The minimum data rate of the system is 1.5 Mb/s in the downstream direction, i.e. from BS to CPE and 384 kb/s in the upstream direction, i.e. from CPE to BS. It is expected that a BS supports up to 255 CPEs[8]. II. ROLE OF PHYSICAL LAYER AND MAC LAYER The physical layer & MAC layer performs important task in the operation of WRAN. The physical layer must be able to adapt to different conditions. Also it should be flexible for switching from one channel to another without error in Transmission and hence this feature of physical layer is known as dynamic frequency hopping required for adjusting the band width dynamically, modulation and coding scheme. Physical layer is responsible for transmission of Data. MAC layer is based on cognitive Radio technology. The MAC layer has two structures namely frame and super frame. A super frame will be formed by no. of frames. The Super Frame will have a super frame control header and a preamble. These will be sent by the base station in every channel. III. PHYSICAL LAYER SPECIFICATION The physical layer of IEEE 802.22 is more or less similar to IEEE 802.16e and is based on OFDMA scheme in the Time Division Duplex (TDD) mode. In the future, It is expected to use Frequency Division Duplex mode (FDD). The mandatory code for Forward Error Correction is Binary Convolution coding with code rate ½. Other optional codes are Convolution Turbo code (CTC), Shortened Block Turbo Code (SBTC), and Low Density
  • 2. Performance improvement of IEEE 802.22 WRAN Physical layer www.iosrjournals.org 95 | Page Parity Check Code (LDPC) to increase the performance. To achieve faster data rate in low noise channels, puncturing can be used to achieve code rates of 2/3, 3/4, and 5/6[5]. There are fourteen modes of transmission, twelve of which are dedicated to data. The digital modulation types used in this standard are QPSK, 16-QAM, and 64-QAM. OFDMA symbols are created using the 2048 FFT on 6, 7, and 8 MHz bandwidths which consist of 1440 data subcarriers, 240 pilot carriers, and 368 guards and DC subcarriers [6]. The cyclic prefix length can be 1/4, 1/8, 1/16, and 1/32 of OFDMA symbol duration. IV. IEEE 802.22 PHY LAYER SYSTEM MODEL OVERVIEW It supports multiple physical specifications. The 802.22 OFDMA PHY is based on OFDMA modulation, which includes OFDM modulation & subcarrier allocation. 1. OFDMA OFDMA is the multi user version of OFDM. OFDM belongs to a special transmission scheme of multicarrier modulation in which high bit rate data stream is divided into several parallel lower bit rate streams. Each stream is modulated on separate carrier called, subcarriers. OFDM is the most spectral efficient version of the multicarrier modulation. In OFDM all the subcarrier are orthogonal to each other over one symbol duration. Because of the orthogonality there is no need of non overlapping subcarriers to eliminate the ICI [7] now the subcarriers overlap to each other thus saves the bandwidth. The no. of subcarriers in the OFDMA symbol is always the size of FFT. There are no. of subcarriers in the OFDMA symbol as follows  Data carriers- carries the useful data  Null carriers-no data is transmitted on these carriers & are used to prevent leakage of energy into adjacent channels  Pilot carrier -are used for channel estimation & synchronization purpose. In OFDMA to enable the multiple access sub channels are used which are formed by grouping the data subcarriers. The all subcarrier that are used to make a subchannel are distributed across all the subcarriers. Number of different subchannels are allocated to the particular user in order to send & receive data. There are two parts in one OFDMA symbol in time domain. The cyclic prefix (CP) time & useful symbol time. CP is used to remove the effect of ISI & ICI in multipath scenario. CP is the copy of the last part of the OFDM symbol which is appended in the front of the transmitted OFDM symbol . The length of CP or guard time interval must be chosen such that it is longer than the maximum delay spread of the multipath channel[7]. The figure 1 shows the advantage of CP. Fig. 1- Cyclic Prefix addition 2. Simulation Model Fig.2-Simulation setup for PHY layer 2.1 Random Data Generation Random binary data is generated here for simulation purpose.
  • 3. Performance improvement of IEEE 802.22 WRAN Physical layer www.iosrjournals.org 96 | Page 2.2 Randomizer Convert the binary sequence to the random sequence to avoid long sequence of „0‟ & „1‟ to improve Synchronization. 2.3 FEC coding Convolution code with code rate 1/2 , 2/3, 3/4 and 5/6 is used as FEC. 2.4 Interleaver It rearranges the ordering of the sequence of the symbols in predefined manner. Two types of interleaving are used i.e. Time Interleaving & Frequency interleaving. 2.5 Modulator QPSK, 16-QAM, and 64-QAM modulations are used for simulation. 2.6 Buffer Buffer is used to stack the data. 2.7 Subcarrier allocation Pilots and guard subcarrier are inserted in this stage. 2.8 IFFT Inverse fast Fourier Transform converts the frequency domain data set into corresponding time domain. It also generates the sample of the waveform which satisfies the condition of orthogonality. 2.9 Cyclic prefi CP copies the last section of a symbol & paste it to the beginning of symbol. After these operations the data are delivered to the channel[8]. 2.10 Channel RICIAN channel is used for simulation in this paper. 3. Forward error correction Convolution code with code rate ½ is the only mandatory code for WRAN system. They operate on data stream, not static block. Convolutional codes have memory that uses previous bits to encode or decode following bit. It is denoted by (n,k,L) where L is the memory depth. In Matlab Trellis description is used to define encoder connections. Viterbi algorithm is used for decoding. V. SIMULATION PARAMETER Total no. of subcarriers: 2048 No. of guard subcarriers: 368 No. of used subcarrier: 1680 No. of data subcarriers: 1440 No. of pilot subcarriers: 240 Guard time to useful symbol time ratio: 1/8 VI. Results As shown in Fig 3, the uncoded BER curves obtained by simulation. Since the FEC blocks are not applied to the data in this case, differences in code rates have no effect on results. In order to investigate the effect of FEC blocks on the system performance, convolutional coding is used. Fig.3- Uncoded BER for QPSK, 16-QAM, and 64-QAM Figs. 4, 5, and 6 show simulation results of the system coded BER versus SNR with different code rates for QPSK, 16-QAM, and 64-QAM respectively. As expected, the BER of higher modulation schemes with high data rates are more sensitive to SNR degradation. e.g. to achieve a BER equal to 10-2 in QPSK and ½ code rate,
  • 4. Performance improvement of IEEE 802.22 WRAN Physical layer www.iosrjournals.org 97 | Page an SNR above 6.6dB is needed. .For 16-QAM and 3/4 code rate, an SNR above 16dB is needed. However for 64-QAM with 5/6 code rate the minimum required SNR is 22.5dB. Fig.4- Coded BER for QPSK with different code rates Fig.5- Coded BER for 16-QAM with different code rates Fig.6 -Coded BER for 64-QAM with different code rates VII. Conclusion In this paper the PHY layer of IEEE 802.22 has been modeled in MATLAB. The BER curves for different modulation schemes and code rates in rician channel are obtained by simulation According to BER curves, It has concluded that for all modulation technique CC with code rate 1/2 gives significant performance improvement to without coding and other higher code rate. REFERENCES [1] S.Haykin,”Cognitive radio: Brain empowered wireless communications”IEEE J. sel. Areas Comm.Vol.23, no.2, pp.201-220, Feb.2005. [2] J. Mitola,”Cognitive Radios: Making Software Radios more personal” IEEE Personal Communications, vol.6, no. 4, August1999 [3] J. Mitola,”Cognitive Radios: An integrated agent architecture for software defined radio”, PhD Dissersation, Royal inst. Techno.(KTH),Stockholm,Sweden2000. [4] Functional Requirements for the IEEE 802.22 WRAN standard, IEEE 802.22-05/0007r46, Sep.
  • 5. Performance improvement of IEEE 802.22 WRAN Physical layer www.iosrjournals.org 98 | Page [5] C. Stevenson, G. Chouinard, L. Zhongding, H. Wendong, S. Shellhammer, and W. Caldwell, “IEEE 802.22: The First Cognitive Radio Wireless Regional Area Network Standard”, IEEE Mag. Communications, vol 47, Jan. 2009, pp. 130-138, doi:10.1109/MCOM.2009.4752688. [6] S. H. Hwang, J. S. Um, M. S. Song, C. J. Kim, H. R. Park, and Y. H Kim, “Design and Verification of IEEE 802.22 WRAN Physical Layer (Invited Paper) ,” Proc. International Conf. Cognitive Radio Oriented Wireless Networks and Communications (Crown Com 08), IEEE Press, May. 2008, pp. 1-6,doi:10.1109/CROWNCOM. 2008.4562542 [7] Richard van Nee, Ramjee Prasad “OFDM for Wireless Multimedia Communication” Artech house publishers,2000. [8] Ahmadi, M., Rohani, E., Naeeni, P.M., & Fakhraie, S.M.”Modelling & Performance Evaluation of IEEE 802.22 Physical layer”2nd International Conference on future Computer and Communication- (2010). [9] J. G. Proakis, Digital Communications, 3rd ed., vol. 2. McGraw-Hill: New York, 1995.