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Self-Encoded Spread Spectrum and Turbo Coding  

Jang, Won-Mee (Peter Kiewit Institute of Information Science, Technology & Engineering, Department of Computer and Electronics Engineering, University of Nebraska)
Nguyen, Lim (Peter Kiewit Institute of Information Science, Technology & Engineering, Department of Computer and Electronics Engineering, University of Nebraska)
Hempel, Michael (Peter Kiewit Institute of Information Science, Technology & Engineering, Department of Computer and Electronics Engineering, University of Nebraska)
Publication Information
Journal of Communications and Networks / v.6, no.1, 2004 , pp. 9-18 More about this Journal
Abstract
Self-encoded multiple access (SEMA) is a unique realization of random spread spectrum. As the term implies, the spreading code is obtained from the random digital information source instead of the traditional pseudo noise (PN) code generators. The time-varying random codes can provide additional security in wireless communications. Multi-rate transmissions or multi-level grade of services are also easily implementable in SEMA. In this paper, we analyze the performance of SEMA in additive white Gaussian noise (AWGN) channels and Rayleigh fading channels. Differential encoding eliminates the BER effect of error propagations due to receiver detection errors. The performance of SEMA approaches the random spread spectrum discussed in literature at high signal to noise ratios. For performance improvement, we employ multiuser detection and Turbo coding. We consider a downlink synchronous system such as base station to mobile communication though the analysis can be extended to uplink communications.
Keywords
Spread spectrum; CDMA; multiuser detection; random sequence; Turbo coding;
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