DocumentCode :
1780417
Title :
Delay-limited capacity of MIMO channels with limited feedback
Author :
Koyuncu, Erdem ; Jafarkhani, Hamid
Author_Institution :
Center for Pervasive Commun. & Comput., Univ. of California, Irvine, Irvine, CA, USA
fYear :
2014
fDate :
June 29 2014-July 4 2014
Firstpage :
2549
Lastpage :
2553
Abstract :
We consider a fixed data rate slow-fading MIMO channel with a long-term power constraint P at the transmitter. A relevant performance limit is the delay-limited capacity, which is the largest data rate at which the outage probability is zero. It is well-known that if both the transmitter and the receiver have full channel state information (CSI) and if either of them has multiple antennas, the delay-limited capacity is non-zero and grows logarithmically with P. Achieving even a positive delay-limited capacity however becomes a difficult task when the CSI at the transmitter (CSIT) is imperfect. In this context, the standard partial CSIT model where the transmitter has a fixed finite bits of quantized CSI feedback for each channel state results in zero delay-limited capacity. We show that by using a variable-length feedback scheme that utilizes different number of feedback bits for different channel states, a non-zero delay-limited capacity can be achieved if the feedback rate is greater than 1 bit per channel state. Moreover, we show that the delay-limited capacity loss due to finite-rate feedback decays at least inverse linearly with respect to the feedback rate.
Keywords :
MIMO communication; channel capacity; error statistics; fading channels; feedback; multifrequency antennas; radio receivers; radio transmitters; wireless channels; CSI at the transmitter; CSI feedback quantization; channel state information; delay limited capacity loss; feedback bits; finite bits; finite rate feedback decay; limited feedback; multiple antenna; nonzero delay limited capacity; outage probability; power constraint; receiver; slow fading MIMO channel; standard partial CSIT model; variable length feedback scheme; Covariance matrices; Indexes; Information theory; MIMO; Quantization (signal); Receivers; Transmitters;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Theory (ISIT), 2014 IEEE International Symposium on
Conference_Location :
Honolulu, HI
Type :
conf
DOI :
10.1109/ISIT.2014.6875294
Filename :
6875294
Link To Document :
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