NDLI: A Scheduling Scheme under a Ratio Constraint for the Multiuser MIMO Systems

Content Provider	IEEE Xplore Digital Library
Author	Jiwon Kang Hakju Lee Chungyong Lee Young Yong Kim
Copyright Year	2006
Description	Author affiliation: Dept. of Electr. & Electron. Eng., Yonsei Univ., Seoul (Jiwon Kang; Hakju Lee; Chungyong Lee; Young Yong Kim)
Abstract	A scheduling scheme for MIMO systems which has the capability of obtaining multiuser diversity gain and controlling the link connection ratio among users simultaneously is proposed. Based on the Gaussian assumption of MIMO channel capacity which is fed back to the base station from each mobile, a Gaussian cost function with an appropriate mean and variance is used as a scheduling criteria. The mean and variance of the cost function permits the resources for the proposed scheduler to be controlled. We first consider the optimal scheduler, which maximizes overall system capacity with the desired link connection ratio (a priori desired ratio), and a method is proposed to obtain weights for the optimal scheduler using some properties of the Gaussian statistics. Although the optimal scheduler has the major impact on system capacity, the complexity associated with weight calculation is high. Thus, two types of suboptimal schedulers, weights of which are not dependent on the channel statistics, denoted as the control variance (CV) scheduler and the control mean(CM) scheduler, are proposed. The overall system capacity of the proposed schedulers, which is significantly enhanced by multiuser diversity, was evaluated analytically and verified by computer simulation. The simulation results show that the overall system capacity of the CM and the CV scheduler is above 99% that of the optimal scheduler. In addition, another result show that the proposed schedulers manage resources accurately, for a relatively small number of antennas
Starting Page	2449
Ending Page	2453
File Size	1530780
Page Count	5
File Format	PDF
ISBN	0780393910
ISSN	15502252
DOI	10.1109/VETECS.2006.1683297
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-05-07
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	MIMO Optimal scheduling Processor scheduling Cost function Statistics Diversity methods Control systems Channel capacity Base stations Computer simulation
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Electrical and Electronic Engineering Computer Science Applications

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