DocumentCode :
838945
Title :
Adaptive Joint Source–Channel Rate Allocation Policies for Delay Sensitive Applications Over Fading Channels
Author :
Ps, C.T. ; Sharma, Vinod
Author_Institution :
Res. & Technol. Div., Honeywell Technol. Solutions Lab, Bangalore
Volume :
52
Issue :
12
fYear :
2006
Firstpage :
5587
Lastpage :
5598
Abstract :
In this correspondence, we consider a problem of optimal source, channel coding rate pair allocation over a wireless link based on the channel fading state and the queue length of the transmitter. The source is delay sensitive. Therefore, our objective is to minimize the mean delay under given mean power and distortion constraints. We show that by jointly optimizing the source and channel rates, one can gain substantially in performance as compared to only source or channel rate optimization, as is usually considered in the literature. This is shown for single user, single-input-single-output (SISO), multiple-input-multiple-output (MIMO), and multiuser systems. The methods used are from Markov decision theory
Keywords :
MIMO communication; Markov processes; adaptive codes; combined source-channel coding; decision theory; fading channels; multiuser channels; queueing theory; MIMO; Markov decision theory; SISO; adaptive joint source-channel coding; delay sensitive applications; fading channel; multiple-input-multiple-output system; multiuser systems; rate pair allocation; single-input-single-output systems; transmitter queue length; wireless link; Buffer storage; Channel coding; Constraint theory; Decision theory; Delay; Fading; MIMO; Performance gain; Transmitters; Wireless sensor networks; Joint source–channel coding; Markov decision theory; mean distortion constraint; multiple-access channel; multiple-input–multiple-output (MIMO) systems; wireless link;
fLanguage :
English
Journal_Title :
Information Theory, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9448
Type :
jour
DOI :
10.1109/TIT.2006.883635
Filename :
4016319
Link To Document :
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