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On the Information Throughput and Optimized Power Allocation for MIMO Wireless Systems With Imperfect Channel Estimation

机译:具有不完美信道估计的MIMO无线系统的信息吞吐量和优化功率分配

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In this paper, we focus on the throughput analysis, outage evaluation and optimized power allocation for Multiple-Input Multiple-Output (MIMO) pilot-based wireless systems subject to short-term constraints on the radiated power and equipped with a feedback-path for communicating back to the transmitter the imperfect MIMO channel estimates available at the receiver. The case of the ergodic throughput for Gaussian distributed input signals is analyzed, and the conditions for the (asymptotical) achievement of the Shannon capacity are pointed out. The main contributions of this work may be so summarized. First, we develop closed-form analytical expressions for the computation of the ergodic information throughput conveyed by the considered MIMO system for the case of ideal feedback link. Second, we present an iterative algorithm for the optimized power allocation over the transmit antennas that explicitly accounts for the imperfect MIMO channel estimates available at the receiver. Third, after relaxing the assumption of ideal feedback link, we test the sensitivity of the proposed power allocation algorithm on errors possibly introduced by the feedback channel, and then, we numerically evaluate the resulting throughput loss. Finally, we develop closed-form upper and lower bounds on the outage probability that are asymptotically tight.
机译:在本文中,我们专注于基于多输入多输出(MIMO)导频的无线系统的吞吐量分析,中断评估和优化的功率分配,这些系统受辐射功率的短期限制,并配备了反馈路径将不完美的MIMO信道估计传回发送器,该估计在接收器处可用。分析了高斯分布输入信号遍历吞吐量的情况,并指出了(渐近)实现香农容量的条件。这项工作的主要贡献可以总结如下。首先,我们针对理想反馈链路的情况,开发了封闭形式的解析表达式,用于计算所考虑的MIMO系统传递的遍历信息吞吐量。其次,我们提出了一种用于优化发射天线功率分配的迭代算法,该算法明确考虑了接收器处可用的不完善的MIMO信道估计。第三,在放松理想反馈链路的假设之后,我们针对反馈信道可能引入的误差测试了所提出的功率分配算法的敏感性,然后,对所得的吞吐量损失进行了数值评估。最后,我们针对停机概率建立了渐近严格的封闭形式的上限和下限。

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