极化分布式MIMO系统的容量上限与功率分配

Wei Lu, Desheng Wang, Yingzhuang Liu
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引用次数: 0

摘要

在推导了极化分布式MIMO系统的容量上限的基础上,利用拉格朗日优化提出了一种次优功率分配方案。次优功率分配基于路径损耗衰落信息,与其他基于信道均值或协方差矩阵的功率分配方案相比,需要较少的反馈信息。次优功率分配方案适用于发射端和接收端的任意天线数。所提出的功率分配方案具有封闭形式表达式,并具有充水解释。仿真结果表明,所提出的功率分配方案与最优方案性能基本一致,差异不大。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Upper capacity bound and power allocation in polarized distributed MIMO system
By deriving the upper capacity bound of the polarized distributed MIMO system on Rician channel, the suboptimal power allocation scheme is presented by applying Lagrangian optimization. The suboptimal power allocation is based on the path loss fading information, and it needs less feedback information than other power allocation schemes which are based on channel mean or covariance matrix. The suboptimal power allocation scheme is applicable for arbitrary antenna number at both the transmitter and receiver sides. The proposed power allocation solution has a closed-form expression and has a water-filling interpretation. Simulation results reveal the proposed power allocation scheme performs almost the same as the optimal solution with little difference.
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