电子学报2023，Vol.51Issue(10)：2844-2854,11.DOI:10.12263/DZXB.20211321
基于SLNR与矢量扰动的毫米波大规模MIMO双层混合预编码算法
A Dual-Layer Hybrid Precoding Algorithm Based on SLNR and Vector Perturbation for Millimeter-Wave Massive MIMO
摘要
Abstract
In a multi-user millimeter wave massive multiple input multiple output(MIMO)system,aiming at the ex-isting signal-to-leakage-plus-noise ratio(SLNR)-based hybrid precoding algorithm that do not take into account the prob-lems of different user channel quality and ill-conditioned channel matrix,a dual-layer hybrid precoding algorithm that com-bines SLNR and vector perturbation(VP)is proposed.The algorithm designs the precoding matrix in two layers.In the first layer,considering the different user channel quality,a matching weighting algorithm based on the SLNR is proposed.The algorithm considers the influence of channel coefficients,precoder vectors and combiner vectors simultaneously to de-sign channel weighting factors.The weighting factors are used to improve the SLNR algorithm and design a better hybrid precoder to eliminate inter-user interference.In the second layer,according to the equivalent baseband channel obtained from the first layer,zero force(ZF)is used to eliminate the interference between antennas.Considering the ill-conditioned channel matrix,VP algorithm is used for further processing.The perturbation vector is reduced to the transmit signal to compensate the influence of the increase of transmit power.Simulation results show the proposed algorithm has better bit error rate(BER)and spectrum efficiency than similar hybrid precoding algorithms.关键词
毫米波大规模MIMO/混合预编码/信漏噪比/信道质量/病态信道矩阵/矢量扰动Key words
millimeter-wave massive MIMO/hybrid precoding/signal-to-leakage-plus-noise ratio(SLNR)/quality of channel/ill-conditioned channel matrix/vector perturbation分类
信息技术与安全科学引用本文复制引用
廖勇,杜洁汝,杨馨怡..基于SLNR与矢量扰动的毫米波大规模MIMO双层混合预编码算法[J].电子学报,2023,51(10):2844-2854,11.基金项目
国家自然科学基金(No.61501066) （No.61501066）
重庆市自然科学基金项目(No.cstc2019jcyj-msxmX0017)National Natural Science Foundation of China(No.61501066) （No.cstc2019jcyj-msxmX0017）
Chongqing Natural Science Foundation Project(No.cstc2019jcyj-msxmX0017) （No.cstc2019jcyj-msxmX0017）
