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

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 cha...

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Veröffentlicht in:IET communications Jg. 14; H. 5; S. 865 - 871
Hauptverfasser: Zafar, Mohammad Haseeb, Khan, Imran, Basheri, Mohammed
Format: Journal Article
Sprache:Englisch
Veröffentlicht: The Institution of Engineering and Technology 17.03.2020
Schlagworte:
base BS antennas
cellular base stations
channel estimation
channel matrix
communication technique
computational complexity
decoding
direct decoding
efficient channel estimation
fast decoding algorithm
fifth‐generation massive MIMO systems
fifth‐generation wireless technology
high computational complexity
linear channel estimation
low‐complexity decoding algorithms
matrix inversion‐less
MIMO communication
multiple‐input–multiple‐output
Research Article
simple operator decoding algorithm
system performance
user channel characteristics
linear channel estimation
low-complexity decoding algorithms
fifth-generation wireless technology
channel matrix
matrix inversion-less
cellular base stations
direct decoding
user channel characteristics
decoding
multiple-input–multiple-output
communication technique
efficient channel estimation
channel estimation
fast decoding algorithm
system performance
fifth-generation massive MIMO systems
base BS antennas
simple operator decoding algorithm
MIMO communication
computational complexity
high computational complexity
ISSN:1751-8628, 1751-8636
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Beschreibung
Zusammenfassung: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.
ISSN:1751-8628
1751-8636
DOI:10.1049/iet-com.2019.0782