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

Wei Peng | Zendy; Lu Zheng | Zendy; Da Chen | Zendy; Chunxing Ni | Zendy; Tao Jiang | Zendy

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

Author(s) -

Wei Peng,

Lu Zheng,

Da Chen,

Chunxing Ni,

Tao Jiang

Publication year - 2018

Publication title -

ieee access

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.587

H-Index - 127

ISSN - 2169-3536

DOI - 10.1109/access.2017.2707396

Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation

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.

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