An Efficient Precoding Algorithm for mmWave Massive MIMO Systems

Symmetry

Aduwati Sali¹  Shagufta Henna²  Farhan Altaf³  Imran Khan³  Jonathan Rodrigues⁴  MuhammadIrfan Khattak⁵  Nasreen Anjum⁶  Yousaf Khan⁷ 

[1] Systems Group, Waterford Institute of Technology, Waterford X91, Ireland;Technology Peshawar, Peshawar 814 KPK, Pakistan;;Department of Electrical Engineering, University of Engineering &Department of Informatics, King’s College London, London WC2B 4BG, UK;School of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA 02139, USA;;Telecommunications Softwares &Wireless and Photonics Networks Research Centre of Excellence, Department of Computer and Communication Systems Engineering, Universiti Putra Malaysia, Selangor 43400, Malaysia;

关键词: beamforming;    5G;    massive MIMO;    mmWave communications;    spectral efficiency;   

DOI  :  10.3390/sym11091099

来源: DOAJ

【 摘 要 】

Symmetrical precoding and algorithms play a vital role in the field of wireless communications and cellular networks. This paper proposed a low-complexity hybrid precoding algorithm for mmWave massive multiple-input multiple-output (MIMO) systems. The traditional orthogonal matching pursuit (OMP) has a large complexity, as it requires matrix inversion and known candidate matrices. Therefore, we propose a bird swarm algorithm (BSA) based matrix-inversion bypass (MIB) OMP (BSAMIBOMP) algorithm which has the feature to quickly search the BSA global optimum value. It only directly finds the array response vector multiplied by the residual inner product, so it does not require the candidate’s matrices. Moreover, it deploys the Banachiewicz−Schur generalized inverse of the partitioned matrix to decompose the high-dimensional matrix into low-dimensional in order to avoid the need for a matrix inversion operation. The simulation results show that the proposed algorithm effectively improves the bit error rate (BER), spectral efficiency (SE), complexity, and energy efficiency of the mmWave massive MIMO system as compared with the existing OMP hybrid and SDRAltMin algorithm without any matrix inversion and known candidate matrix information requirement.

【 授权许可】

Unknown