Cooperative Self Encoded Spread Spectrum in Fading Channels


Self-encoded spread spectrum (SESS) is a unique realization of random spread spectrum. SESS eliminates the need for the traditional transmitting and receiving PN code generators. Instead, the time varying, random spreading sequence is obtained from the data source. Cooperative diversity (CD) has been attracting increas-ing attention as a novel and promising diversity technique. This paper analyzes the cooperative SESS for Amplify and Forward CD links in Rayleigh channels. The results show that our cooperative SESS improves the system performance significantly over MRC-based cooperative systems.

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K. HUA, W. JANG and L. NGUYEN, "Cooperative Self Encoded Spread Spectrum in Fading Channels," International Journal of Communications, Network and System Sciences, Vol. 2 No. 2, 2009, pp. 91-96. doi: 10.4236/ijcns.2009.22011.

Conflicts of Interest

The authors declare no conflicts of interest.


[1] A. Ribeiro, C. X. Cai, and G. B. Giannakis, “Symbol error probabilities for general cooperative links,” IEEE Transactions on Wireless Communications, Vol. 4, No. 3, pp. 1264-1273, May 2005.
[2] A. Sendonaris, E. Erkip, and B. Aazhang, “User coopera-tion diversity-Part I: System description,” IEEE Transac-tions on Communications, Vol. 51, No. 11, pp. 1927-1938, November 2003.
[3] A. Sendonaris, E. Erkip, and B. Aazhang, “User coopera-tion diversity part II: Implementation aspects and per-formance analysis,” IEEE Transactions on Communi- cations, Vol. 51, No. 11, pp. 1939-1948, November 2003.
[4] A. Ribeiro , X. Cai, and G. B. Giannakis, “Opportunistic multipath for bandwidth-efficient cooperative network-ing,” IEEE International Conference on Acoustics Speech and Signal Processing, Montreal, Canada, May 2004.
[5] L. Nguyen, “Self-encoded spread spectrum and multiple access communication,” IEEE 6th International. Sympo-sium on Spread-Spectrum Techniques & Applications, New Jersey, September 2000.
[6] K. Hua, L. Nguyen, W. M. Jang, “Self-encoded spread spectrum synchronization with genetic algorithm and markov chain analysis,” IEEE 42th Conference on In-formation Science and Systems, Princeton, New Jersey, March 2008.
[7] Y. Kong, L. Nguyen, and W. M. Jang, “On the BER of self-encoded spread spectrum communication systems,” Proceedings of the IASTED International Conference, Wireless and Optical Communications, Banff, Alberta, Canada, June 27-29, 2001.
[8] Z. Wang and G. B. Giannakis, “A simple and general parameterization quantifying performance in fading channels,” IEEE Transactions on Communications, Vol. 51, No. 8, pp.1389-1398, August 2003.

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