Matrix inversion-less direct decoding for efficient channel estimation in fifth-generation massive MIMO systems

Mohammad Haseeb Zafar*, Imran Khan, Mohammed Basheri

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

Massive multiple-input-multiple-output (MIMO) is a fifth-generation wireless technology that equips the cellular base stations (BSs) with a very large number of antenna and is a communication technique of serving several users. Aiming at the problem of the high computational complexity of linear channel estimation and linear decoding in massive MIMO systems, this study proposes two low-complexity decoding algorithms according to the characteristics of the system. The fast decoding algorithm is designed by using the asymptotic orthogonality of the channel in the system to avoid solving the inverse of the channel matrix. In combination with increasing the number of base BS antennas to optimise user channel characteristics, a simple operator decoding algorithm is designed to realise direct decoding without estimating the channel. Simulation results show that the proposed algorithms can effectively reduce the computational complexity while ensuring system performance.

Original languageEnglish
Pages (from-to)865-871
Number of pages7
JournalIET Communications
Volume14
Issue number5
DOIs
Publication statusPublished - 1 Mar 2020
Externally publishedYes

Cite this