Spectral Efficiency Maximization for Massive Multiuser MIMO Downlink TDD Systems via Data Power Allocation with MRT Precoding

O. Saatlou, M. Ahmad, M. Swamy
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引用次数: 3

Abstract

This paper studies the problem of maximizing the spectral efficiency in a massive multi-user MIMO downlink (DL) system where the base station employs a large number of antennas and serves single-antenna users in one cell, assuming time- division duplex transmission. In order to maximize the spectral efficiency in a DL transmission, a new method for power allocation among users is proposed based on the water-filling approach. To this end, a lower bound on the achievable rate is derived for each user in the presence of maximum- ratio transmission precoding and employed in defining the spectral efficiency. Since maximizing the spectral efficiency is an NP-hard problem, an effective algorithm is also proposed to find Karush-Kuhn-Tucker (local maximum) points. The performance of the proposed power allocation method is verified by conducting simulations and shown to be superior to other existing methods in terms of higher spectral efficiency.
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基于MRT预编码的海量多用户MIMO下行TDD系统的频谱效率最大化
本文研究了大规模多用户MIMO下行链路系统中频谱效率最大化的问题,该系统中基站采用大量天线,在一个小区中为单天线用户服务,假设采用时分双工传输。为了最大限度地提高DL传输中的频谱效率,提出了一种基于注水法的用户间功率分配新方法。为此,导出了在最大比传输预编码存在的情况下每个用户可达到的速率的下界,并用于定义频谱效率。由于谱效率最大化是一个np困难问题,因此提出了一种寻找Karush-Kuhn-Tucker(局部最大值)的有效算法。通过仿真验证了所提出的功率分配方法的性能,并表明该方法在更高的频谱效率方面优于其他现有方法。
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