Energy-distortion tradeoff for the gaussian broadcast channel with feedback
File(s)ISIT16c.pdf (1.24 MB)
Accepted version
Author(s)
Murin, Y
Kaspi, Y
Dabora, R
Gunduz, D
Type
Conference Paper
Abstract
This work focuses on the minimum transmission energy required for communicating a pair of correlated Gaussian sources over a two-user Gaussian broadcast channel with noiseless and causal channel output feedback (GBCF). We study the fundamental limit on the required transmission energy for broadcasting a pair of source samples, such that each source can be reconstructed at its respective receiver to within a target distortion, when the source-channel bandwidth ratio is not restricted. We derive a lower bound and three distinct upper bounds on the minimum required energy. For the upper bounds we analyze three transmission schemes: Two schemes are based on separate source-channel coding, and apply coding over multiple samples of source pairs. The third scheme is based on joint source-channel coding obtained by extending the Ozarow-Leung (OL) transmission scheme, which applies uncoded linear transmission. Numerical simulations show that despite its simplicity, the energy-distortion tradeoff of the OL-based scheme is close to that of the better separation-based scheme, which indicates that the OL scheme is attractive for energy-efficient source transmission over GBCFs.
Date Issued
2016-08-11
Date Acceptance
2016-07-10
Citation
2016 IEEE International Symposium on Information Theory (ISIT), 2016, pp.1829-1833
ISSN
2157-8117
Publisher
IEEE
Start Page
1829
End Page
1833
Journal / Book Title
2016 IEEE International Symposium on Information Theory (ISIT)
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.
Identifier
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000390098701179&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Source
IEEE International Symposium on Information Theory (ISIT)
Subjects
Science & Technology
Technology
Computer Science, Theory & Methods
Engineering, Electrical & Electronic
Computer Science
Engineering
MULTIPLE-ACCESS CHANNELS
CORRELATED SOURCES
EFFICIENCY
MAC
Publication Status
Published
Start Date
2016-07-10
Finish Date
2016-07-15
Coverage Spatial
Barcelona, SPAIN