Uplink MIMO-SDMA optimisation of smart antennas by phase-amplitude perturbations based on memetic algorithms for wireless and mobile communication systems

Based on phase–amplitude perturbation method, an innovative uplink multiple-input multiple-output spatial division multiple access (MIMO-SDMA) optimisation technique of smart antennas is proposed, where the deduced radiation pattern formulas available for searching optimal solutions are used to search the optimal weighting vector of the array factor of a smart antenna. The design for an optimal radiation pattern of an adaptive antenna can not only adjustably suppress interferers by placing nulls at the directions of the interfering sources but also provide a maximum main lobe in the direction of the desired signal at the same time, that is to maximise the signal to interference ratio. A new convergent method referred as the two-way convergent method for memetic algorithms is proposed to achieve this goal. A smart antenna is composed by several adaptive antennas. The smart antenna is implemented via using the adaptive beamforming technique. The characteristic is that the optimal radiation pattern design of smart antennas is studied by using phase–amplitude perturbation method to achieve MIMO-SDMA optimisation.

[1]  Hisao Ishibuchi,et al.  Multi-objective genetic local search algorithm , 1996, Proceedings of IEEE International Conference on Evolutionary Computation.

[2]  Jack H. Winters,et al.  Smart antennas for wireless systems , 1998, IEEE Wirel. Commun..

[3]  Bernd Freisleben,et al.  A genetic local search algorithm for solving symmetric and asymmetric traveling salesman problems , 1996, Proceedings of IEEE International Conference on Evolutionary Computation.

[4]  P. Van Rooyen,et al.  An overview of space division multiple access techniques in cellular systems , 1998, Proceedings of the 1998 South African Symposium on Communications and Signal Processing-COMSIG '98 (Cat. No. 98EX214).

[5]  Wen-Jye Shyr,et al.  Memetic Algorithms for Optimizing Adaptive Linear Array Patterns by Phase-Position Perturbation , 2005 .

[6]  Chunxiao Yu,et al.  STUDY ON ADAPTIVE NUMERICAL ANALYSIS METHOD FOR ELASTIC PROBLEMS , 2005 .

[7]  Randy L. Haupt,et al.  Introduction to Adaptive Arrays , 1980 .

[8]  Chun-Hua Chen,et al.  Optimizing Beam Pattern of Adaptively Linear Array Antenna by Phase Perturbations Using Genetic Algorithms , 2004, KES.

[9]  HSUChaohsing,et al.  Designing Adaptive Linear Array Antenna to Achieve Pattern Steering Optimization by Phase-Amplitude Perturbations Using Genetic Algorithms , 2005 .

[10]  Joshua D. Knowles,et al.  M-PAES: a memetic algorithm for multiobjective optimization , 2000, Proceedings of the 2000 Congress on Evolutionary Computation. CEC00 (Cat. No.00TH8512).

[11]  J.D. Morrow MIMO antenna array design considerations for indoor applications , 2005, 2005 IEEE Antennas and Propagation Society International Symposium.