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-List Of Titles -QoS-aware optimal power allocation with channel inversion regularization precoding in MU-MIMO

Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.14/127558

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Title
QoS-aware optimal power allocation with channel inversion regularization precoding in MU-MIMO
Related
IEEE International Conference on Communications (14 - 18 June 2009 : Dresden, Germany)
Related
2009 IEEE International Confernece on Communications Workshops : ICC 2009, proceedings : Dresden, Germany, 14-18 June 2009, p.1-5
DOI
10.1109/ICC.2009.5199380
Publisher
Piscataway, N.J : IEEE
Date
2009
FoR/RFCD Code(s)
100500 Communications Technologies
Author/Creator
Jin, Xin
Author/Creator
Yang, Yubo
Author/Creator
Tian, Lin
Author/Creator
Pang, Di
Author/Creator
Shi, Jinglin L
Author/Creator
Dutkiewicz, Eryk
Description
In multiuser MIMO systems, the Channel Inversion Regularization (CIR) precoding outperforms Zero-Forcing (ZF) in the case of a small number of users and low SNR. However, unlike the zero-interference ZF, the optimal power allocation issue using CIR is a nonconvex optimization problem which will become more intractable with nonconvex QoS constraints. In this paper we focus on the challenging QoS-aware optimal power allocation problem, aiming to maximize the system sum rate and guarantee the users' minimum data rates. As a result, an "Iterative Geometric Programming" (IGP) strategy is proposed which transforms the underlying problem to a series of tractable Geometric Programming (GP) problems through an iterative convex approximation. Extensive simulations have been conducted and the results indicate that IGP is quite suitable to tackle the problem, which can achieve a good balance between the system sum rate and the individual QoS requirements.
Description
5 page(s)
Subject Keyword
100500 Communications Technologies
Subject Keyword
MU-MIMO
Subject Keyword
QoS-aware
Subject Keyword
optimal power allcation
Subject Keyword
channel inversion regularization
Resource Type
conference paper
Organisation
Macquarie University. Dept. of Physics and Engineering

Identifier
http://hdl.handle.net/1959.14/127558
Identifier
ISBN:9781424434350
Identifier
mq-rm-2009004473
Language
eng
Reviewed
Reviewed
Save/E-mail Citation
Citation Format
E-mail Address
Subject
"2009 IEEE International Confernece on Communications Workshops : ICC 2009, proceedings : Dresden, Germany, 14-18 June 2009"
 
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