Add to Quick Collection
Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.14/127558
250 Visitors
225 Hits
0 Downloads
- 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
- 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
- 090600 Electrical and Electronic Engineering
- 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. Department of Physics and Engineering
- Identifier
- http://hdl.handle.net/1959.14/127558
- Identifier
- mq:13784
- Identifier
- ISBN:9781424434350
- Identifier
- mq-rm-2009004473
- Language
- eng
- Reviewed
Macquarie University ResearchOnline
