Abstract
In this paper, we propose a low-complexity genetic algorithm (GA) to deal with the joint antenna selection (AS) and power allocation (PA) problem in multiple-input multiple-output systems with space time block coding and spatial multiplexing. The proposed GA is aimed to solve the joint AS and PA problem by maximizing the channel capacity under a fixed total transmission power constraint. At the first stage of the proposed scheme, we conduct the priority based GA to concurrently select the best transmit/receive antenna set under uniform transmit power allocation. At the second stage, we carry out a real-value GA to find the best power allocation strategy for the selected transmit antennas. Complexity analysis and simulation results are presented to assert that the proposed scheme can outperform existing works in terms of the bit error rate performance, while keeping its computational complexity modest.
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