NDLI: Performance analysis of multi-cell systems with multiuser detection and multiple antennas

Content Provider	IEEE Xplore Digital Library
Author	Lau, V.
Copyright Year	2004
Description	Author affiliation: Dept. of Electr. & Electron. Eng.,, Hong Kong Univ., China (Lau, V.)
Abstract	In this paper, we consider a system with K single-antenna client users, n/sub B/ base stations (each base station has n/sub B/ antennas) as well as a centralized controller. All the base stations operate at the same frequency and have optimal multi-user detection per base-station. A client user could be associated with a single base station at any time. We consider a general problem of uplink macroscopic scheduling where the centralized controller dynamically determines an appropriate association mapping of the K users with respect to the n/sub B/ base stations over a macroscopic time scale. We propose a novel analytical framework for the above macroscopic scheduling problems. A simple rule is to associate a user with the strongest base station (camp-on-the-strongest-cell) and this has been widely employed in conventional cellular systems. However, based on the optimization framework, we found that this conventional approach is in fact not optimal when multi-user detection is employed at the base station. We show that the optimal macroscopic scheduling algorithm is of exponential complexity and we propose a simple greedy algorithm as a feasible solution. It is shown that the macroscopic scheduling gain relative to the conventional approach increases with increasing n/sub B/ (due to the extra degree of freedom introduced by multiple antennas) and decreasing path loss exponent (due to large area of overlapping).
Starting Page	560
Ending Page	564
File Size	343106
Page Count	5
File Format	PDF
ISBN	0780383443
ISSN	15253511
DOI	10.1109/WCNC.2004.1311607
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-03-21
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Performance analysis Multiuser detection Base stations MIMO Centralized control Frequency Scheduling algorithm Receiving antennas Transmitting antennas Time division multiple access
Content Type	Text
Resource Type	Article

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