Hybrid precoding algorithm for massive MIMO system with imperfect channel knowledge. (2023)

• Record Type: Journal Article
• Authors: Subitha, D.; Poonkuzhali, P.; Chandra, I.; Hemanth, P. Venkata
• Is Part Of: Materials today. Volume 80:Part 3(2023)
• Page Start: 3235
• Page End: 3239
• Publication Date: 2023
• Subjects: MIMO -- Radio frequency chains -- Pre-coding -- Singular valued decomposition (SVD) -- Hybrid pre-coding; Materials science -- Congresses -- Periodicals; 620.1
• DOI: 10.1016/j.matpr.2021.07.218
• Languages: English
• ISSNs: 2214-7853

Abstract

Abstract: Millimeter wave MIMO system offers orders of magnitude high data rate due to the excess bandwidth available then conventional MIMO system. But, at the cost of excessive free space losses that highly influence the transmission at very high millimeter wave frequencies. The resulting small Wavelength at the millimeter wave frequency can overcome the path losses using beam forming gain offered by the massive antennas which is known as pre-coding. In millimeter wave massive MIMO system, hybrid pre-coding is the technique that combines analog pre-coding and digital pre-coding to reduce the requirement of high number of RF chains and thus energy consumption. Hybrid beam forming uses number of RF chains equal to the number of simulations users being served rather than using separate RF chains in the case of digital pre-coding. In designing analog and digital pre-coders, large number of calculations that uses complex mathematical process such as block diagonalization, SVD for channel matrix inversion required for the computation of pre-coder weight vector computation. In this paper, we propose low complexity hybrid pre-coding algorithm using simple linear approximation algorithms for matrix inversion operations. We first used the simple inversion algorithm in the computation of analog beam forming matrix without any SVD or direct inversion of matrices. Then, the same is being used in digital pre-coding matrix. In the proposed algorithm, there is no need for the complicated operations as SVD as in traditional pre coding algorithms.