NDLI: Efficient power allocation strategy in multiuser MIMO broadcast channels

Content Provider	IEEE Xplore Digital Library
Author	Lei Zhao Yide Wang Charge, P.
Copyright Year	2013
Description	Author affiliation: Inst. de Rech. en Electron. et Telecommun. de Rennes (IETR), Polytech Nantes LUNAM Univ.-Univ. de Nantes, Nantes, France (Lei Zhao; Yide Wang; Charge, P.)
Abstract	In this paper, sum rate optimization of multiuser multiple-input multiple-output broadcast (MU-MIMO) communication systems with perfect channel state information (CSI) at the base station is investigated. Since power allocation is a signomial optimization problem in the presence of multiuser interference (MUI), it is not a convex problem in general. Several optimal solutions proposed in the literature have exponential computational complexity, which is hard to implement for practice. We propose an iterative water-filling algorithm that takes advantage of the classical simple water-filling principle. The proposed algorithm reduces significantly the computational complexity compared with the methods in the literature only with a negligible performance degradation. In addition, the generalized eigenvalue technique for beamforming design is utilized in this paper for minimizing MUI, the number of users and the number of antennas of each user can be arbitrary. Simulations show that the sum rate of the proposed method is close to the sum capacity of the MU-MIMO broadcast channel, especially in low signal-to-noise ratio (SNR) region.
Starting Page	2591
Ending Page	2595
File Size	126492
Page Count	5
File Format	PDF
ISBN	9781467362351
ISSN	21669570
DOI	10.1109/PIMRC.2013.6666584
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-09-08
Publisher Place	UK
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Array signal processing Resource management Interference Downlink Vectors Optimization Signal to noise ratio
Content Type	Text
Resource Type	Article

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