NDLI: On the information rate of MIMO systems with finite rate channel state feedback and power on/off strategy

Content Provider	IEEE Xplore Digital Library
Author	Wei Dai Youjian Liu Rider, B. Lau, V.K.N.
Copyright Year	2005
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Univ. of Colorado at Boulder, CO (Wei Dai; Youjian Liu)
Abstract	This paper quantifies the information rate of multiple-input multiple-output (MIMO) systems with finite rate channel state feedback and power on/off strategy. In power on/off strategy, a beamforming vector (beam) is either turned on (denoted by on-beam) with a constant power or turned off. We prove that the ratio of the optimal number of on-beams and the number of antennas converges to a constant for a given signal-to-noise ratio (SNR) when the number of transmit and receive antennas approaches infinity simultaneously and when beamforming is perfect. Based on this result, a near optimal strategy, i.e., power on/off strategy with a constant number of on-beams, is discussed. For such a strategy, we propose the power efficiency factor to quantify the effect of imperfect beamforming. A formula is proposed to compute the maximum power efficiency factor achievable given a feedback rate. The information rate of the overall MIMO system can be approximated by combining the asymptotic results and the formula for power efficiency factor. Simulations show that this approximation is accurate for all SNR regimes
Starting Page	1549
Ending Page	1553
File Size	207987
Page Count	5
File Format	PDF
ISBN	0780391519
DOI	10.1109/ISIT.2005.1523604
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-09-04
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Information rates MIMO State feedback Array signal processing Receiving antennas Covariance matrix Transmitting antennas Matrix decomposition H infinity control Signal to noise ratio
Content Type	Text
Resource Type	Article

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