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A novel approach to maximize the sum-rate for MIMO broadcast channels

Khan, M. Arif, Islam, Rafiqul and Chowdhury, Morshed 2015, A novel approach to maximize the sum-rate for MIMO broadcast channels, in SNPD 2015: Proceedings of the IEEE/ACIS 16th International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, IEEE, Piscataway, N.J., pp. 1-5, doi: 10.1109/SNPD.2015.7176193.

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Title A novel approach to maximize the sum-rate for MIMO broadcast channels
Author(s) Khan, M. Arif
Islam, Rafiqul
Chowdhury, MorshedORCID iD for Chowdhury, Morshed orcid.org/0000-0002-2866-4955
Conference name Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing. Conference (16th : 2015 : Takamatsu, Japan)
Conference location Takamatsu, Japan
Conference dates 1-3 Jun. 2015
Title of proceedings SNPD 2015: Proceedings of the IEEE/ACIS 16th International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing
Editor(s) Saisho, Keizo
Publication date 2015
Start page 1
End page 5
Total pages 5
Publisher IEEE
Place of publication Piscataway, N.J.
Keyword(s) multi-user MIMO
broadcast channels
sum-rate
Eigen-Value-Decomposition
Summary This paper considers the sum-rate of wireless broadcast systems with multiple antennas at the base station. In a conventional MIMO-BC system with a large number of users, selecting an optimal subset of users to maximizing the overall system capacity is a key design issue. This paper presents a novel approach to investigate the sum-rate using Eigen Value Decomposition (EVD). Particularly, we derive the lower bound on sum-rate of a conventional MIMO-BC using a completely different approach compared to the existing approaches. The paper formulates the rate maximization problem for any number of users and any number of transmitting antennas using EVD approach of the channel matrix. This also shows the impact of channel angle information on the sum-rate of conventional MIMO-BC. Numerical results confirm the benefits of our technique in various MIMO communication scenarios.
ISBN 9781479986750
Language eng
DOI 10.1109/SNPD.2015.7176193
Field of Research 080503 Networking and Communications
Socio Economic Objective 890199 Communication Networks and Services not elsewhere classified
HERDC Research category E1 Full written paper - refereed
ERA Research output type E Conference publication
Copyright notice ©2015, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30080370

Document type: Conference Paper
Collection: School of Information Technology
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