Research Article
Linear Massive MIMO Precoding Based on Nonlinear High-Power Amplifier
@INPROCEEDINGS{10.1007/978-3-319-73564-1_47, author={Xudong Yin and Jianxin Dai and Chonghu Cheng and Zhiliang Huang}, title={Linear Massive MIMO Precoding Based on Nonlinear High-Power Amplifier}, proceedings={Machine Learning and Intelligent Communications. Second International Conference, MLICOM 2017, Weihai, China, August 5-6, 2017, Proceedings, Part I}, proceedings_a={MLICOM}, year={2018}, month={2}, keywords={Massive MIMO High-power amplifier (HPA) Precoding algorithm Bit error ratio}, doi={10.1007/978-3-319-73564-1_47} }- Xudong Yin
Jianxin Dai
Chonghu Cheng
Zhiliang Huang
Year: 2018
Linear Massive MIMO Precoding Based on Nonlinear High-Power Amplifier
MLICOM
Springer
DOI: 10.1007/978-3-319-73564-1_47
Abstract
Large-scale multiple-input multiple-output (MIMO) system has the advantages of high energy efficiency and spectrum utilization. But using some cheap hardware may cause some problems, such as nonlinearity of the high power amplifier (HPA). When HPA works in the nonlinear region, it will affect the received signal and greatly reduce the performance of the system. In this paper, we first study the impact caused by nonlinear HPA, and then we optimize the traditional precoding algorithm to design an improved precoding algorithm which can reduce the impact. The simulation results show that the proposed algorithms perform better in bit error ratio and system capacity compared to the block of diagonalization (BD) precoding algorithm and forced zero (ZF) precoding algorithm, especially in the condition of high signal to noise ratio (SNR). So we can draw the conclusion that the algorithms proposed in this paper are able to reduce the impact caused by nonlinear HPA to the system.