Adaptive Joint Source–Channel Rate Allocation Policies for Delay Sensitive Applications Over Fading Channels

Thejaswi, Chandrashekhar PS and Sharma, Vinod (2006) Adaptive Joint Source–Channel Rate Allocation Policies for Delay Sensitive Applications Over Fading Channels. In: IEEE Transactions on Information Theory, 52 (12). pp. 5587-5598.

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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.

Item Type:	Journal Article
Publication:	IEEE Transactions on Information Theory
Publisher:	IEEE
Additional Information:	Copyright 2006 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Keywords:	Joint source–channel coding;Markov decision theory;Mean distortion constraint;Multiple-input–multiple-output (MIMO) systems;Multiple-access channel;Wireless link
Department/Centre:	Division of Electrical Sciences > Electrical Communication Engineering
Date Deposited:	25 Aug 2008
Last Modified:	19 Sep 2010 04:33
URI:	http://eprints.iisc.ac.in/id/eprint/9263

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