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Optimal antenna selection based on capacity maximization for MIMO systems in correlated channels

机译:相关信道中基于MIMO系统容量最大化的最优天线选择

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Recent work has shown that multiple-input multiple-output (MIMO) systems with multiple antennas at both the transmitter and receiver are able to achieve great capacity improvement. In such systems, it is desirable to select a subset of the available antennas so as to reduce the number of radio frequency (RF) chains. This paper addresses the problem of antenna selection in correlated channels. We consider a narrowband communication system with M transmit and N receive antennas. We present the criterion for selecting the optimal L/sub t/ out of M transmit and L/sub r/ out of N receive antennas in terms of capacity maximization, assuming that only the long-term channel statistics, instead of the instantaneous channel-state information, are known. Simulations will be used to validate our theoretical analysis and demonstrate that the number of required RF chains can be significantly decreased using our proposed selection strategy, while achieving even better performance than the conventional MIMO system without antenna selection.
机译:最近的工作表明,在发送器和接收器上都具有多个天线的多输入多输出(MIMO)系统能够实现很大的容量提高。在这样的系统中,期望选择可用天线的子集以减少射频(RF)链的数量。本文解决了相关信道中的天线选择问题。我们考虑具有M个发射天线和N个接收天线的窄带通信系统。我们提出了在容量最大化方面选择M个发射天线中的最佳L / sub t /和N个接收天线中的L / sub r /的准则,假设仅长期信道统计信息,而不是瞬时信道状态信息,是已知的。仿真将用于验证我们的理论分析,并证明使用我们提出的选择策略可以显着减少所需RF链的数量,同时实现比没有天线选择的传统MIMO系统更好的性能。

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