NDLI: A network perspective of MIMO antenna techniques with multiuser scheduling

Content Provider	IEEE Xplore Digital Library
Author	Li-Chun Wang
Copyright Year	2005
Description	Author affiliation: Dept. of Commun. Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan (Li-Chun Wang)
Abstract	Summary form only given. Multiple-input multiple-output (MIMO) antenna techniques can achieve huge capacity gains without requiring extra bandwidth. The primary challenges to apply the MIMO techniques lines in the implementation complexity and the possible side effect of reliability performance degradation. Many research efforts, especially the physical layer techniques, have been reported in the literature to resolve these issues. Differently, this talk provides a network perspective to implement the MIMO techniques in wireless scheduling systems. First, we propose using the scheduling techniques to replenish the diversity-deficient spatial multiplexing MIMO system. To this end, we develop a novel strongest-weakest-normalized-subchannel-first (SWNSF) scheduling algorithm to enhance the degraded reliability performance of the MIMO system with limited feedback information. Our analysis indicates that the SWNSF scheduling can significantly increase the coverage of the multiuser MIMO system while improving system capacity. Secondly, we investigate the effect of multi-user scheduling techniques on the simple zero-forcing receiver based spatial multiplexing MIMO system. Somewhat surprisingly, we find that the zero-forcing receiver can be asymptotically optimal in the multiuser scheduling system as the number of users increase. In summary, by full exploitation of the existing rich network resource - the inherent multiuser diversity, we show that the coverage and complexity issues of the MIMO system can be resolved with a negligible cost. More important than the results presented and also the ultimate goal of this talk, is the hope that the network perspective methodology can provide another innovative view and flexible design paradigm for MIMO wireless systems.
File Size	168179
File Format	PDF
ISBN	0780390008
DOI	10.1109/WOCC.2005.1553771
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-04-22
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wireless communication Degradation Laboratories Bandwidth Reliability engineering Physical layer MIMO Telecommunications Spatial resolution Scheduling algorithm
Content Type	Text
Resource Type	Article

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