DocumentCode
2881920
Title
Precoded opportunistic multiuser detection
Author
Kumar, Narendra ; Trivedi, Aditya
Author_Institution
Dept. of Inf. & Commun. Technol., Indian Inst. of Inf. Technol. & Manage., Gwalior, India
fYear
2012
fDate
21-23 Nov. 2012
Firstpage
320
Lastpage
323
Abstract
In this paper, we study multi-user multi-input-multi-output (MU-MIMO) wireless system for spectrum sharing over a limited bandwidth, in which transmit covariance matrices of the coexisting users independently updated in an iterative manner for individual rate maximization. This problem was solved in the literature by an advanced decoding method, in which every user opportunistically cancels the co-channel interference from the coexisting users using multiuser detection techniques, hence termed opportunistic multiuser detection (OMD). This paper also studies the signal-to-leakage-plus-noise ratio (SLNR) based precoding for MU-MIMO channels based on OMD. SLNR improves as interference mitigates due to use of precoding in OMD. Simulation results show the achievable throughput gains of precoded OMD over the conventional single-user decoding (SUD) and plain OMD.
Keywords
MIMO communication; cochannel interference; covariance matrices; decoding; interference suppression; multiuser detection; precoding; radio spectrum management; wireless channels; MU-MIMO channel; MU-MIMO wireless system; OMD precoding; SLNR based precoding; SUD; cochannel interference cancellation; decoding method; interference mitigation; limited bandwidth; multiuser multiinput-multioutput wireless system; precoded opportunistic multiuser detection; rate maximization; signal-to-leakage-plus-noise ratio; single-user decoding; spectrum sharing; throughput gain; transmit covariance matrices; Decoding; Interference; MIMO; Multiuser detection; Receivers; Throughput; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Communication Systems (ICCS), 2012 IEEE International Conference on
Conference_Location
Singapore
ISSN
Pending
Print_ISBN
978-1-4673-2052-8
Type
conf
DOI
10.1109/ICCS.2012.6406162
Filename
6406162
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