NDLI: System-wide capacity increase for narrowband cellular systems through multiuser detection and base station diversity arrays

Content Provider	IEEE Xplore Digital Library
Author	Grant, S.J. Cavers, J.K.
Copyright Year	2002
Abstract	Multiuser detection (MUD) of signals occupying the same time/frequency slot has been shown to provide significant increases in the capacity of a single cell or coverage area. In a cellular system, however, increasing the number of users per cell also produces increased interference from other cells. Compensation by increasing the co-channel cell spacing partially offsets the capacity gain due to MUD, and the net effect on system capacity then rests on the detection method, such as maximum likelihood (ML) or minimum mean-squared error (MMSE). This paper is the first to analyze the net capacity gains due to ML-MUD in time division multiple access (TDMA), and the first to compare ML-MUD with MMSE-MUD on this basis. We demonstrate that ML-MUD with M cochannel users per cell and four base station antennas gives a net system capacity that is M times greater than that of single-user TDMA system with two antennas. In contrast, we show that MMSE-MUD gives only a modest net capacity increase, and that the system capacity may actually decrease with more than one or two users per cell, making it poorer than the original single-user system.
Starting Page	2072
Ending Page	2082
Page Count	11
File Size	520913
File Format	PDF
ISSN	15361276
Volume Number	3
Issue Number	6
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-11-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Narrowband Multiuser detection Base stations Maximum likelihood detection Time division multiple access Diversity reception Signal detection Frequency diversity Interchannel interference Slot antennas multiuser channels Antenna arrays cochannel interference communication system performance fading channels land mobile radio cellular systems least mean-square methods maximum likelihood (ML) detection mobile communication multidimensional signal detection
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Electrical and Electronic Engineering Computer Science Applications

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