Journal
ELECTRONICS LETTERS
Volume 56, Issue 1, Pages 50-+Publisher
INST ENGINEERING TECHNOLOGY-IET
DOI: 10.1049/el.2019.2938
Keywords
-
Categories
Funding
- Academy of Finland 6Genesis Flagship [318927]
- Nokia Foundation Centennial Grant
- Research Council of Oman [BFP/RGP/ICT/18/079]
- A'Sharqiyah University
Ask authors/readers for more resources
Several approximate matrix inversion methods have been used in linear massive MIMO uplink detectors where their convergence rate, performance, and complexity are greatly affected by the initial solution. In this Letter, the authors exploit a stair matrix, instead of a diagonal matrix, in initialising iterative linear minimum mean square error massive MIMO detector based on several approximate matrix inversion methods, namely, the Gauss-Seidel, successive over relaxation, Richardson iteration, and Newton iteration methods. Numerical results show a significant performance enhancement without a burden of extra complexity using a stair matrix over a diagonal matrix in all methods.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available