NDLI: General Analysis of Uplink Group-Orthogonal MC-CDMA systems

Content Provider	IEEE Xplore Digital Library
Author	Femenias, G. Riera-Palou, F. Ramis, J.
Copyright Year	2007
Description	Author affiliation: Dept. of Math. & Inf., Balearic Islands Univ., Palma de Mallorca (Femenias, G.; Riera-Palou, F.; Ramis, J.)
Abstract	Group-orthogonal multicarrier code-division multiple access (GO-MC-CDMA) has been proposed as a multiplexing technique for the uplink segment of wireless systems. The distinctive feature of GO-MC-CDMA with respect to MC-CDMA is that users do not employ all the available subcarriers, instead, they are collected in orthogonal groups with each group functioning as an independent MC-CDMA system. When distributing users among groups, and in order to simplify network management and to increase system flexibility, it is important to allow users in the same group to employ different modulation formats and/or power constraints. This paper generalizes previous analyses of maximum likelihood (ML) multiuser detection (MUD) in GO-MC-CDMA to the case where, due to QoS requirements, users in the same group employ different modulation formats and/or receive different power levels. Simulations results using realistic parameters over an ETSI BRAN channel model are presented which serve to validate the analytical results.
Starting Page	3101
Ending Page	3105
File Size	173876
Page Count	5
File Format	PDF
ISBN	1424402662
ISSN	15502252
DOI	10.1109/VETECS.2007.635
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-04-22
Publisher Place	Ireland
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Multicarrier code division multiple access Modulation Multiuser detection Multiaccess communication Code division multiplexing Energy management Power system management Maximum likelihood detection Analytical models Telecommunication standards
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Electrical and Electronic Engineering Computer Science Applications

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