Sparsely-spread CDMA - a statistical mechanics based analysis

Abstract

Sparse Code Division Multiple Access (CDMA), a variation on the standard CDMA method in which the spreading (signature) matrix contains only a relatively small number of non-zero elements, is presented and analysed using methods of statistical physics. The analysis provides results on the performance of maximum likelihood decoding for sparse spreading codes in the large system limit. We present results for both cases of regular and irregular spreading matrices for the binary additive white Gaussian noise channel (BIAWGN) with a comparison to the canonical (dense) random spreading code.

23 pages, 5 figures, figure 1 amended since published version

References in corpus (1)

• Broken Replica Symmetry Bounds in the Mean Field Spin Glass Model

Cited by in corpus (6)

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• Parallel dynamics of disordered Ising spin systems on finitely connected directed random graphs with arbitrary degree distributions
• Spin models on random graphs with controlled topologies beyond degree constraints
• On composite systems of dilute and dense couplings
• Typical case behaviour of spin systems in random graph and composite ensembles
• Optimal sparse CDMA detection at high load