NDLI: Capacity of space-time wireless channels: a physical perspective

Content Provider	IEEE Xplore Digital Library
Author	Sayeed, A. Raghavan, V. Kotecha, J.
Copyright Year	2004
Description	Author affiliation: Wisconsin Univ., Madison, WI, USA (Sayeed, A.; Raghavan, V.; Kotecha, J.)
Abstract	Existing results on MIMO channel capacity assume a rich scattering environment in which the channel power scales quadratically with the number of antennas, resulting in linear capacity scaling with the number of antennas. However, such scaling in channel power is physically impossible indefinitely. We thus address the following fundamental question: for a given channel power scaling law, what is the best achievable capacity scaling law? For a channel power scaling, /spl rho//sub c/(N) = O(N/sup /spl gamma//), /spl gamma/ /spl isin/ (0,2], we argue that the channel capacity cannot scale faster than C(N) = O(/spl radic/(/spl rho//sub c/(N))) = O(N/sup /spl gamma//2/). Our approach is based on a family of space-time channels corresponding to different distributions of channel power in the spatial signal space dimensions. We develop the concept of an ideal MIMO channel that achieves the optimal scaling law for a given /spl rho//sub c/(N). For a given number of antennas, unlike existing results that either emphasize the low or high SNR regimes, we propose a methodology for capacity-optimal signaling at any SNR. The methodology is based on creating the ideal channel from any given physical scattering environment via adaptive-resolution array configurations.
Starting Page	434
Ending Page	439
File Size	446356
Page Count	6
File Format	PDF
ISBN	0780387201
DOI	10.1109/ITW.2004.1405343
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-10-24
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	MIMO Channel capacity Scattering Ear Adaptive arrays Wireless communication Power system modeling
Content Type	Text
Resource Type	Article

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