NDLI: On the macroscopic optimization of multicell wireless systems with multiuser detection and multiple antennas

Content Provider	IEEE Xplore Digital Library
Author	Lau, V.K.N.
Copyright Year	2002
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 R/ antennas), as well as a centralized controller. A client user could be associated with a single base station at any time. All the base stations operate at the same frequency and have optimal multiuser detection per base station which cancels intracell interference only. We consider a general problem of uplink macroscopic resource management 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 multiuser 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.
Starting Page	1388
Ending Page	1393
Page Count	6
File Size	253747
File Format	PDF
ISSN	15361276
Volume Number	4
Issue Number	4
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-07-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Multiuser detection Base stations Scheduling algorithm Centralized control Multiaccess communication Interference cancellation Partitioning algorithms Control systems Frequency Resource management utility functions Genetic algorithm macroscopic scheduling multicell scheduling multiple antenna multiuser detection optimal algorithm proportional fairness
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Electrical and Electronic Engineering Computer Science Applications

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