| Summary: | 碩士 === 國立臺灣海洋大學 === 電機工程學系 === 99 === Abstract
Multiple-input Multiple-output (MIMO) antenna array system is used for improving data transmission rate and communication reliability, but it also increases hardware cost and operational complexity. The system that combines space-time block code (STBC) and spatial multiplexing (SM), called STBC-SM system, can find the tradeoff between data transmission rate and communication reliability. In this thesis, we investigate feasible schemes of transmit antenna selection and power allocation that can maximize channel capacity subject to a fixed amount of total transmitted power in a STBC-SM system. Antenna selection can reduce hardware complexity, whereas power allocation is able to improve channel capacity. As such, we propose a hybrid genetic algorithm in which a chromosome is composed of genes from two parts: the antenna selection part and the power allocation part. These chromosomes evolve to the next generation through steps of evaluation, selection, hybrid crossover and hybrid mutation until convergence is attained. The best combination of selected antennas with their allocated powers can be obtained from the best chromosome that produces the global optimal value of channel capacity. Finally, computer simulations are carried out to show that the proposed algorithm has lower operational complexity and larger channel capacity, as compared to the optimal antenna selection scheme.
Keywords: MIMO, space-time block code-spatial multiplexing hybrid system, antenna selection, power allocation, channel capacity, genetic algorithm
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