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

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 ou...

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Bibliographic Details
Published in:IEEE access 2018, Vol.6, p.6668-6676
Main Authors: Peng, Wei, Zheng, Lu, Chen, Da, Ni, Chunxing, Jiang, Tao
Format: Article
Language:English
Subjects:
Bit error rate
energy efficiency
massive MIMO
MIMO
MIMO (control systems)
Minimization
Optimization
Peak to average power ratio
Precoding
System effectiveness
Uplink
Waveforms
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Summary: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.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2017.2707396