电讯技术2017，Vol.57Issue(12)：1427-1432,6.DOI:10.3969/j.issn.1001-893x.2017.12.014
适用于大规模MIMO系统的低复杂度RZF-SOR预编码算法
A Low-complexity RZF-SOR Precoding Algorithm for Massive MIMO Systems
摘要
Abstract
In order to reduce the complexity of traditional precoding algorithm in massive multiple-input multiple-output( MIMO) systems,an improved algorithm called Regularized Zero Forcing-Successive Over Relaxation(RZF-SOR) algorithm is proposed based on the original RZF precoding algorithm,which uses the SOR iterative method instead of the matrix inversion. The approximate expression and the necessary condition of the optimal correlation parameter are obtained by using the stochastic matrix principle. Experi-mental results show that the proposed RZF-SOR precoding algorithm effectively reduces an order of magni-tude complexity compared with RZF precoding,achieves bit error rate(BER) performance close to RZF precoding at very small iterations and is superior to Neumann Series based precoding algorithm.关键词
大规模MIMO/低复杂度预编码/超松驰迭代/正则化迫零Key words
massive MIMO/low-complexity precoding/successive over relaxation( SOR)/regularized zero forcing( RZF)分类
信息技术与安全科学引用本文复制引用
朱庆浩,宋志鹏,吴君钦..适用于大规模MIMO系统的低复杂度RZF-SOR预编码算法[J].电讯技术,2017,57(12):1427-1432,6.基金项目
国家自然科学基金资助项目(61501210) （61501210）
