Efficient and low-complexity matrix inversion scheme for massive multiple-input multiple-output systems using rapid numerical algorithms

Performances of the regularised zero forcing (RZF) precoder, rapid numerical algorithm (RNA) precoder and the truncated polynomial expansion (TPE) Precoder are compared and analysed for massive multiple-input multiple-output (MIMO) wireless system in a downlink scenario. The achievable data rates, b...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:Journal of engineering (Stevenage, England) Ročník 2019; číslo 10; s. 7244 - 7249
Hlavní autoři: Mukubwa, Emmanuel, Sokoya, Oludare A
Médium: Journal Article
Jazyk:angličtina
Vydáno: The Institution of Engineering and Technology 01.10.2019
Wiley
Témata:
ISSN:2051-3305, 2051-3305
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí:Performances of the regularised zero forcing (RZF) precoder, rapid numerical algorithm (RNA) precoder and the truncated polynomial expansion (TPE) Precoder are compared and analysed for massive multiple-input multiple-output (MIMO) wireless system in a downlink scenario. The achievable data rates, bit error rates and signal-to-interference-to-noise ratio were investigated. The simulated results agree with the theory of massive MIMO system. Also, the RZF precoder and the RNA precoder perform better in comparison to TPE precoder.
ISSN:2051-3305
2051-3305
DOI:10.1049/joe.2018.5015