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Models and Algorithms for Optimization Downlink Spatial Division Multiple Access (SDMA) Optimization of Smart Antennas by Phase-Amplitude Perturbations Based on Memetic Algorithms

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4 Author(s)
Chao-Hsing Hsu ; Chienkuo Technol. Univ., Changhua ; Wen-Jye Shyr ; Chi-Fei Wu ; Pao-Hua Chou

In this paper, a novel method based on the memetic algorithm for downlink spatial division multiple access (SDMA) optimization technique of smart antennas by is proposed. Via the phase-amplitude perturbation method, the radiation pattern formulas available for searching optimal solutions are deduced to search the optimal weighting vector of the array factor of a smart antenna. In a smart antenna system, one user's signal must be considered as other users' interfering signal. An optimal radiation pattern of a smart 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 signals at the same time, i.e., to maximize the signal to interference ratio (SIR). In order to achieve this goal, a new convergent method referred as the two-way convergent method for memetic algorithms is proposed. The optimal radiation pattern design of downlink smart antennas can be achieve spatial division multiple access (SDMA) optimization by using the phase-amplitude perturbation method.

Published in:

Innovative Computing, Information and Control, 2007. ICICIC '07. Second International Conference on

Date of Conference:

5-7 Sept. 2007