Study On Application Of Tabu Search Methods To CDMA Multiuser Detection

As known, in the 3th generation (3G) cellular mobile communication systems the code-division multiple access (CDMA) has become the dominant technical standard and related key techniques, such as channel coding/decoding, multiple user detection (MUD), software radio as well as intelligent antenna, are attracting increasingly research interest in recent years. This thesis is dedicated to the application of computational intelligence methods to solve the difficult issue of MUD design capable of canceling the so-called multiple access interference (MAI) to reach low bit error rate (BER) and high near-far resistant capability with acceptable computation complexity. Our attention is focusing on the sub-optimal MUD algorithm. A tabu search (TS) based MUD algorithm is proposed. This TS-MUD algorithm is shown to be near-far resistant and of low BER with polynomial computational complexity.