DocumentCode :
603315
Title :
Performance Comparison of WRAN over AWGN and RICIAN Channel Using BPSK and QPSK Modulation with Convolution Coding
Author :
Koshti, R. ; Jangalwa, M.
Author_Institution :
Dept. of ECE, Shri Aurobindo Inst. of Technol., Indore, India
fYear :
2013
fDate :
6-8 April 2013
Firstpage :
124
Lastpage :
126
Abstract :
The spectrum available for the wireless services is limited, the increased demand of wireless application has put a lot of constraints 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 By using BPSK & QPSK modulation and obtaining the BER curves. Simulation is performed in MATLAB. The performance of Transmission mode are evaluated by calculating Probability of Bit error rate(BER) versus SNR over AWGN & RICIAN fading Channel.
Keywords :
AWGN channels; IEEE standards; Rician channels; cognitive radio; convolutional codes; error statistics; quadrature phase shift keying; telecommunication services; AWGN channel; BER curves; BPSK modulation; MATLAB; QPSK modulation; Rician channel; SNR; TV broadcast service; WRAN; cognitive radio technique; convolution coding; fading channel; physical layer; probability of bit error rate; radio spectrum; spectrum utilization; transmission mode; wireless application IEEE 802.22 standard; wireless regional area network; wireless services; Binary phase shift keying; Bit error rate; Fading; Physical layer; Rician channels; Wireless communication; BPSK; Cognitive Radio; OFDMF; QPSK; WRAN;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communication Systems and Network Technologies (CSNT), 2013 International Conference on
Conference_Location :
Gwalior
Print_ISBN :
978-1-4673-5603-9
Type :
conf
DOI :
10.1109/CSNT.2013.35
Filename :
6524371
Link To Document :
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