Energy-distortion exponents in lossy transmission of Gaussian sources over Gaussian channels
File(s)KGT_IT16.pdf (1.18 MB)
Accepted version
Author(s)
Koken, E
Gunduz, D
Tuncel, E
Type
Journal Article
Abstract
Lossy transmission of Gaussian sources over energy limited Gaussian point-to-point and broadcast channels is studied under the infinite bandwidth regime, i.e., when the number of channel uses is unlimited. Using previously known asymptotic achievability and converse results, the energy-distortion exponent, defined as the rate of decay of the square-error distortion as the available energy-to-noise ratio increases without bound, is completely characterized for both the point-to-point and broadcast channel cases. Turning then to the scenario of zero delay transmission, where outage events with arbitrarily small probability are allowed, it is shown that the same energyd istortion exponent as in the infinite-delay case can be achieved in all the studied scenarios.
Date Issued
2016-12-01
Date Acceptance
2016-12-01
Citation
IEEE Transactions on Information Theory, 2016, 63 (2), pp.1227-1236
ISSN
1557-9654
Publisher
Institute of Electrical and Electronics Engineers
Start Page
1227
End Page
1236
Journal / Book Title
IEEE Transactions on Information Theory
Volume
63
Issue
2
Copyright Statement
© 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Sponsor
Commission of the European Communities
Grant Number
677854
Subjects
Science & Technology
Technology
Computer Science, Information Systems
Engineering, Electrical & Electronic
Computer Science
Engineering
Broadcast channels
energy-distortion exponent
energy-distortion tradeoff
energy-limited transmission
joint source-channel coding
zero-delay
CODES
Networking & Telecommunications
0801 Artificial Intelligence And Image Processing
0906 Electrical And Electronic Engineering
1005 Communications Technologies
Publication Status
Published