Telecommunications Science ›› 2018, Vol. 34 ›› Issue (9): 63-69.doi: 10.11959/j.issn.1000-0801.2018187

• research and development • Previous Articles     Next Articles

A low complexity precoding based on weighted two diagonal iteration in massive MIMO system

Haiyan CAO1,Dong ZHOU1,Fangmin XU1,Xin FANG1,Xiumin WANG2   

  1. 1 Telecommunication Engineering School,Hangzhou Dianzi University,Hangzhou 310018,China
    2 Information Engineering School,China Jiliang University,Hangzhou 310018,China
  • Online:2018-09-20 Published:2018-10-12
  • Supported by:
    The National Natural Science Foundation of China;The National Natural Science Foundation of China;Education Department Foundation of Zhejiang Province of China;Education Department Foundation of Zhejiang Province of China


In massive MIMO systems,with the increase of the number of users and antennas,the complexity of the downlink zero forcing (ZF) precoding increases due to the existence of large matrix inversion.In order to reduce the complexity,an improved weighted two diagonal iteration precoding algorithm based on the Jacobi iterative algorithm was proposed.The low-two diagonal matrix was taken as iterative matrix,and the iterative results were weighed addition with the last results to accelerate the convergence speed of the iteration.According to the diagonally dominant characteristic of channel matrix in massive MIMO systems,the first term of the Neumann approximation of matrix inversion was used as the initial value of the iteration to accelerate the iteration further.Compared with the traditional ZF precoding,the proposed scheme can reduce the complexity with an order of magnitude and ensure the performance of the precoding scheme.

Key words: massive MIMO, Jacobi iteration, zero forcing precoding, low complexity, weighted two diagonal iteration

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