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  • 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): - .    [点击复制]
  • ZHU Qinghao,SONG Zhipeng,WU Junqin.A low-complexity RZF-SOR precoding algorithm for massive MIMO systems[J].,2017,57(12): - .   [点击复制]
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适用于大规模MIMO系统的低复杂度RZF-SOR预编码算法
朱庆浩,宋志鹏,吴君钦
0
(江西理工大学 信息工程学院,江西 赣州341000)
摘要:
在大规模多输入多输出(MIMO)系统中,为了降低传统预编码算法的复杂度,在原有正则化迫零(RZF)预编码算法的基础上,提出用超松驰迭代(SOR)法代替矩阵求逆的高复杂度运算,得到一种改进算法RZF-SOR,并应用随机矩阵原理得出其最优相关参数的近似表达式和取值的必要条件。实验仿真表明,提出的RZF-SOR预编码算法与RZF预编码相比有效地降低了一个数量级的复杂度,在很小的迭代次数下达到接近于RZF预编码的误码率性能,并且优于基于Neumann级数预编码算法的误码率性能。
关键词:  大规模MIMO; 低复杂度预编码  超松驰迭代;正则化迫零
DOI:
基金项目:国家自然科学基金资助项目(61501210)
A low-complexity RZF-SOR precoding algorithm for massive MIMO systems
ZHU Qinghao,SONG Zhipeng,WU Junqin
()
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. Experimental results show that the proposed RZF-SOR precoding algorithm effectively reduces an order of magnitude 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.
Key words:  massive MIMO  low-complexity precoding  successive over relaxation(SOR)  regularized zero forcing(RZF)
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