DocumentCode :
729461
Title :
A novel approach to maximize the sum-rate for MIMO broadcast channels
Author :
Khan, M. Arif ; Islam, Rafiqul ; Chowdhury, Morshed
Author_Institution :
Sch. of Comput. & Math., Charles Sturt Univ., Bathurst, NSW, Australia
fYear :
2015
fDate :
1-3 June 2015
Firstpage :
1
Lastpage :
5
Abstract :
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.
Keywords :
MIMO communication; antenna arrays; broadcast channels; eigenvalues and eigenfunctions; matrix algebra; transmitting antennas; wireless channels; EVD; MIMO broadcast channel; MIMO communication scenario; base station; channel angle information; channel matrix; eigen value decomposition; multiple antenna; sum rate maximization; transmitting antenna; wireless broadcast system; Base stations; Interference; MIMO; Mathematical model; Transmitting antennas; Wireless communication; Broadcast Channels; Eigen-Value-Decomposition; Multi-user MIMO; Sum-Rate;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD), 2015 16th IEEE/ACIS International Conference on
Conference_Location :
Takamatsu
Type :
conf
DOI :
10.1109/SNPD.2015.7176193
Filename :
7176193
Link To Document :
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