Successive Refinement Via Broadcast: Optimizing Expected Distortion of a Gaussian Source Over a Gaussian Fading Channel

We consider the problem of transmitting a Gaussian source on a slowly fading Gaussian channel, subject to the mean-squared error distortion measure. The channel state information is known only at the receiver but not at the transmitter. The source is assumed to be encoded in a successive refinement...

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Bibliographic Details
Published in:	IEEE transactions on information theory Vol. 54; no. 7; pp. 2903 - 2918
Main Authors:	Tian, C., Steiner, A., Shamai, S., Diggavi, S.N.
Format:	Journal Article
Language:	English
Published:	New York, NY IEEE 01.07.2008 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithms Applied sciences Broadcast strategy Broadcasting Channel state information Channels Chaos Communication channels Decoding Degradation Detection, estimation, filtering, equalization, prediction Distortion Electronics Exact sciences and technology Fading Gaussian Information theory Information, signal and communications theory joint source-channel coding Mathematical models Normal distribution Optimization power allocation Radiocommunications Signal and communications theory Signal, noise Source coding Strontium successive refinement (SR) Systems, networks and services of telecommunications Telecommunications Telecommunications and information theory Transmission and modulation (techniques and equipments) Transmitters Transmitters. Receivers Fading channels Fading joint source-channel coding Parameter estimation Variational methods Refinement method Gaussian channel Transmitter Algorithm Power allocation Joint source channel coding Optimization Mean square error Broadcast strategy successive refinement (SR) Algorithm performance Optimal allocation Channel estimation Optimal solution Broadcast channels
ISSN:	0018-9448, 1557-9654
Online Access:	Get full text
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