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- W2072183711 abstract "We aim at comparing classical and chaos-based spreading sequences considering the Shannon capacity of the resulting system. Due to asynchronism, capacity turns out to be a random variable whose average can be computed once that the pdf of the eigen-values of a random matrix is known. We estimate such a pdf by Monte Carlo computation and try to fit it with a simple model. It turns out that the straightforward application of asymptotic results that hold for synchronous systems with random spreading is ineffective. Yet, a slight generalization of the profiles indicated by that theory allows a fitting of the empirical data with a relative error below 0.8% in all tested cases. Finally, by observing both the raw numerical evidence and the approximation based on pdf fitting, we are able to show that chaos-based spreading is able to produce a capacity increase with respect to classical codes designed to mimic purely random sequences." @default.
- W2072183711 created "2016-06-24" @default.
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- W2072183711 date "2004-01-01" @default.
- W2072183711 modified "2023-09-27" @default.
- W2072183711 title "Eigenvalues distribution and average Shannon capacity of asynchronous DS-CDMA systems with classical and chaos-based spreading" @default.
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- W2072183711 doi "https://doi.org/10.1109/icc.2004.1313059" @default.
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