Local search multiuser detection

Abstract In this work, a wide analysis of local search multiuser detection (LS-M U D) for direct sequence/code division multiple access (DS/CDMA) systems under multipath channels is carried out considering the performance-complexity trade-off. It is verified the robustness of the LS-M U D to variations in loading, E b / N 0 , near–far effect, number of fingers of the Rake receiver and errors in the channel coefficients estimates. A compared analysis of the bit error rate (BER) and complexity trade-off is accomplished among LS, genetic algorithm (GA) and particle swarm optimization (PSO). Based on the deterministic behavior of the LS algorithm, it is also proposed simplifications over the cost function calculation, obtaining more efficient algorithms (simplified and combined LS-M U D versions) and creating new perspectives for the M U D implementation. The computational complexity is expressed in terms of the number of operations in order to converge. Our conclusion pointed out that the simplified LS (s-LS) method is always more efficient, independent of the system conditions, achieving a better performance with a lower complexity than the others heuristics detectors. Associated to this, the deterministic strategy and absence of input parameters made the s-LS algorithm the most appropriate for the M U D problem.

[1]  F. Ciriaco,et al.  Multirate Multiuser DS/CDMA with Genetic Algorithm Detection in Multipath Channels , 2006, 2006 IEEE Ninth International Symposium on Spread Spectrum Techniques and Applications.

[2]  P.J.E. Jeszensky,et al.  Simplified Local Search Algorithm for Multiuser Detection in Multipath Rayleigh Channels , 2007, 2007 16th IST Mobile and Wireless Communications Summit.

[3]  Taufik Abrão,et al.  DS/CDMA Multiuser Detection with Evolutionary Algorithms , 2006, J. Univers. Comput. Sci..

[4]  Sergio Verdú,et al.  Computational complexity of optimum multiuser detection , 1989, Algorithmica.

[5]  Heng Siong Lim,et al.  An efficient local search heuristics for asynchronous multiuser detection , 2003, IEEE Communications Letters.

[6]  S. Verdu Optimum multiuser signal detection (Ph.D. Abstr.) , 1985, IEEE Trans. Inf. Theory.

[7]  John G. Proakis,et al.  Digital Communications , 1983 .

[8]  P.J.E. Jeszensky,et al.  Genetic algorithm multiuser detection in fading channel with errors in the estimates of parameters , 2005, SBMO/IEEE MTT-S International Conference on Microwave and Optoelectronics, 2005..

[9]  Andrew R Nix,et al.  IST Mobile and Wireless Communications Summit , 2003 .

[10]  F. Ciriaco,et al.  Particle Swarm and Quantum Particle Swarm Optimization Applied to DS/CDMA Multiuser Detection in Flat Rayleigh Channels , 2006, 2006 IEEE Ninth International Symposium on Spread Spectrum Techniques and Applications.

[11]  Sergio Verdu,et al.  Multiuser Detection , 1998 .

[12]  Taufik Abrão,et al.  Algoritimos Heurísticos Aplicados à detecção Multiusuário DS/CDMA , 2005 .