Performance analysis of linear precoders with imperfect channel covariance information for multicell system

Comparison and analysis of the regularised zero forcing precoder, rapid numerical algorithms-based precoder and the truncated polynomial expansion-based precoder are done for massive multiple-input multiple-output wireless system for multicell scenario. The analysis was done for the imperfect channe...

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Vydáno v:Journal of engineering (Stevenage, England) Ročník 2020; číslo 8; s. 697 - 705
Hlavní autoři: Mukubwa, Emmanuel, Sokoya, Oludare A
Médium: Journal Article
Jazyk:angličtina
Vydáno: The Institution of Engineering and Technology 01.08.2020
Wiley
Témata:
achievable signal-to-interference
antenna arrays
channel estimation
imperfect channel covariance information
instantaneous signal-to-interference
interference suppression
linear precoders
massive multiple-input multiple-output wireless system
MIMO communication
multicell massive MIMO system
multicell scenario
multicell system
noise ratio
performance analysis
polynomials
precoding
radiofrequency interference
rapid numerical algorithms-based precoder
regularised zero forcing precoder
Research Article
spectral efficiency
truncated polynomial expansion-based precoder
wireless channels
instantaneous signal-to-interference
interference suppression
polynomials
massive multiple-input multiple-output wireless system
multicell system
multicell massive MIMO system
precoding
multicell scenario
truncated polynomial expansion-based precoder
imperfect channel covariance information
radiofrequency interference
achievable signal-to-interference
channel estimation
linear precoders
antenna arrays
spectral efficiency
wireless channels
regularised zero forcing precoder
MIMO communication
rapid numerical algorithms-based precoder
performance analysis
noise ratio
ISSN:2051-3305, 2051-3305
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Shrnutí:Comparison and analysis of the regularised zero forcing precoder, rapid numerical algorithms-based precoder and the truncated polynomial expansion-based precoder are done for massive multiple-input multiple-output wireless system for multicell scenario. The analysis was done for the imperfect channel covariance information. The achievable signal-to-interference-and-noise ratio, spectral efficiency and energy efficiency were investigated. The simulated outcome of the rapid numerical algorithms, regularised zero forcing and truncated polynomial expansion precoders for multicell massive MIMO system was analysed. The rapid numerical algorithms-based precoder gave the best performance followed by the regularised zero forcing precoder, and the truncated polynomial expansion-based precoder had the lowest performance for the multicell massive MIMO system. The increase in spectral efficiency per cell can be attributed to the fact that the pre-log factor reduces with the increased number of pilots. Also, this leads to increased instantaneous signal-to-interference-and-noise ratio as the channel estimates become better with reduced pilot contamination. Again, for truncated polynomial expansion precoding there is a reduction in spectral efficiency because improvement in approximation quality do not overshadow the reduction in pre-log factor. The performance is evaluated for uncoordinated and coordinated massive MIMO.
ISSN:2051-3305
2051-3305
DOI:10.1049/joe.2019.1122