DocumentCode
919049
Title
Capacity and power allocation for fading MIMO channels with channel estimation error
Author
Yoo, Taesang ; Goldsmith, Andrea
Author_Institution
Dept. of Electr. Eng., Stanford Univ., CA, USA
Volume
52
Issue
5
fYear
2006
fDate
5/1/2006 12:00:00 AM
Firstpage
2203
Lastpage
2214
Abstract
In this correspondence, we investigate the effect of channel estimation error on the capacity of multiple-input-multiple-output (MIMO) fading channels. We study lower and upper bounds of mutual information under channel estimation error, and show that the two bounds are tight for Gaussian inputs. Assuming Gaussian inputs we also derive tight lower bounds of ergodic and outage capacities and optimal transmitter power allocation strategies that achieve the bounds under perfect feedback. For the ergodic capacity, the optimal strategy is a modified waterfilling over the spatial (antenna) and temporal (fading) domains. This strategy is close to optimum under small feedback delays, but when the delay is large, equal powers should be allocated across spatial dimensions. For the outage capacity, the optimal scheme is a spatial waterfilling and temporal truncated channel inversion. Numerical results show that some capacity gain is obtained by spatial power allocation. Temporal power adaptation, on the other hand, gives negligible gain in terms of ergodic capacity, but greatly enhances outage performance.
Keywords
MIMO systems; channel capacity; channel estimation; fading channels; channel estimation error; ergodic capacity; fading MIMO channel; multiple-input-multiple-output channel; optimal transmitter power allocation strategy; outage capacity; spatial waterfilling; temporal truncated channel inversion; Channel estimation; Delay estimation; Fading; Feedback; MIMO; Mutual information; Performance gain; Signal to noise ratio; Transmitters; Upper bound; Capacity; channel estimation error; feedback delay; multiple-input–multiple-output (MIMO); mutual information; outage capacity; power allocation; waterfilling;
fLanguage
English
Journal_Title
Information Theory, IEEE Transactions on
Publisher
ieee
ISSN
0018-9448
Type
jour
DOI
10.1109/TIT.2006.872984
Filename
1624653
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