7-days of FREE Audio papers, translation & more with Prime
7-days of FREE Prime access
7-days of FREE Audio papers, translation & more with Prime
7-days of FREE Prime access
https://doi.org/10.1109/wmcs55582.2022.9866166
Copy DOIPublication Date: Apr 19, 2022 |
Citations: 2 |
Multiple-input Multiple-output (MIMO) technology uses multiple transmitter and receiver antennas for improving throughput and coverage. Massive MIMO is an advancement of MIMO technology that utilizes large numbers of antenna terminals at both transmitter and receiver to provide high spectral efficiency with simple processing. Massive MIMO today has become a captivating technology for future generation networks. Traditional linear, non-linear, and iterative uplink signal detection algorithms for massive MIMO systems do not provide optimal performance, and are computationally inefficient. This paper proposes a fast-convergent detector for massive MIMO systems based on the refinement of the Jacobi iterative method. The proposed algorithm utilizes a novel initialization matrix and a successive over-relaxation (SOR) preconditioner to enhance the convergence of the proposed method. The numerical results verify the optimal error and complexity performance of the proposed algorithm for uplink signal detection in massive MIMO systems.
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.