Distributed Precoding for BER Minimization With PAPR Constraint in Uplink Massive MIMO Systems

被引：2

作者：

Peng, Wei ^{[1
]}

Zheng, Lu ^{[1
]}

Chen, Da ^{[1
]}

Ni, Chunxing ^{[1
]}

Jiang, Tao ^{[1
]}

机构：

[1] Huazhong Univ Sci & Technol, Sch Elect Informat & Commun, Wuhan 430074, Hubei, Peoples R China

来源：

IEEE ACCESS | 2018年 / 6卷

基金：

美国国家科学基金会;

关键词：

Precoding; peak-to-average power ratio; massive MIMO; uplink; energy efficiency; AVERAGE POWER RATIO; OFDM SYSTEMS; REDUCTION; ANTENNAS; ENERGY; EFFICIENCIES; PERFORMANCE; CHANNELS; SPECTRUM; SIGNALS;

D O I：

10.1109/ACCESS.2017.2707396

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Precoding can effectively reduce the peak-to-average power ratio (PAPR) of the transmitted waveform but will usually degrade the bit error rate (BER) performance. In this paper, we investigate the PAPR-guaranteed BER minimization problem through precoding in uplink massive multiple input-multiple output (MIMO) systems. First, we formulate an optimization problem to minimize the BER via precoding design and derive the necessary condition of the optimal precoding matrix. Second, we discuss the BER minimization with PAPR constraint and propose a two-step distributed precoder to deal with this problem. Simulation results verify the effectiveness of the proposed precoding. Particularly, it is efficient for massive MIMO systems in terms of energy efficiency.

引用

页码：6668 / 6676

页数：9

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