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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Vydáno v:	IET communications Ročník 14; číslo 5; s. 865 - 871
Hlavní autoři:	Zafar, Mohammad Haseeb, Khan, Imran, Basheri, Mohammed
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	The Institution of Engineering and Technology 17.03.2020
Témata:	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
On-line přístup:	Získat plný text
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