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Antenna Selection Using Genetic Algorithm for MIMO Systems

机译:基于遗传算法的MIMO系统天线选择

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摘要

Recent work has shown that the usage of multiple antennas at the transmitter and receiver in a flat fading environment results in a linear increase in channel capacity. But increasing the number of antennas induces the higher hardware costs and computational burden. To overcome those problems, it is effective to select antennas appropriately among all available ones. In this paper, a new antenna selection method is proposed. The transmit antennas are selected so as to maximize the channel capacity using the genetic algorithm (GA) which is the one of the general random search algorithm. The results show that the proposed GA achieves almost the same performance as the optimal selection method with less computational amount.
机译:最近的工作表明,在平坦衰落环境中,在发射机和接收机处使用多个天线会导致信道容量线性增加。但是增加天线的数量会导致更高的硬件成本和计算负担。为了克服这些问题,在所有可用天线中适当选择天线是有效的。本文提出了一种新的天线选择方法。使用作为通用随机搜索算法之一的遗传算法(GA),选择发射天线以最大化信道容量。结果表明,所提出的遗传算法具有与最优选择方法几乎相同的性能,且计算量较小。

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