Open AccessPerformance analysis of linear precoders with imperfect channel covariance information for multicell system
Author(s) -
Mukubwa Emmanuel,
Sokoya Oludare A.
Publication year - 2020
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2019.1122
Subject(s) - mimo , polynomial expansion , precoding , spectral efficiency , covariance , algorithm , polynomial , reduction (mathematics) , computer science , control theory (sociology) , channel (broadcasting) , interference (communication) , signal to noise ratio (imaging) , mathematics , telecommunications , statistics , mathematical analysis , geometry , control (management) , artificial intelligence
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.