REDUCED-COMPLEXITY GENETIC ALGORITHM AIDED AND RADIAL BASIS FUNCTION ASSISTED MULTIUSER DETECTION FOR SYNCHRONOUS CDMA (TueAmPO2)

Author(s) : Hua Wei (UoS, UK) Mong-Suan Yee (UoS, UK) Lajos Hanzo (Univ. of Southampton, UK)

Abstract : Radial Basis Function Network aided Multiuser Detection (RBFN-MUD) schemes are capable of detecting the receiv\-ed signal of all users, even if the channel output states are linearly non-separable. However, their complexity may become excessive which renders their real implementation irrealistic, except when the number of users is low. In this contribution a novel reduced-complexity RBFN-MUD is developed, which invokes Genetic Algorithms (GAs) for reducing the number of RBFN-MUD centres. Our computer simulations showed that GAs are capable of considerably reducing the complexity imposed at the cost of a slight performance degradation.

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