On lossy transmission of correlated sources over a multiple access channel
File(s)ISIT16b.pdf (219.9 KB)
Accepted version
Author(s)
Guler, B
Gunduz, D
Yener, A
Type
Conference Paper
Abstract
We study lossy communication of correlated sources over a multiple access channel. In particular, we provide a joint source-channel coding scheme for transmitting correlated sources with decoder side information, and study the conditions under which separate source and channel coding is optimal. For the latter, the encoders and/or the decoder have access to a common observation conditioned on which the two sources are independent. By establishing necessary and sufficient conditions, we show the optimality of separation when the encoders and the decoder both have access to the common observation. We also demonstrate that separation is optimal when only the encoders have access to the common observation whose lossless recovery is required at the decoder. As a special case, we study separation for sources with a common part. Our results indicate that side information can have significant impact on the optimality of source-channel separation in lossy transmission.
Date Issued
2016-08-11
Date Acceptance
2016-07-10
Citation
2016 IEEE International Symposium on Information Theory (ISIT), 2016, pp.2009-2013
ISSN
2157-8117
Publisher
IEEE
Start Page
2009
End Page
2013
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:000390098702015&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
DEPENDENT RANDOM-VARIABLES
RATE-DISTORTION
INFORMATION
Publication Status
Published
Start Date
2016-07-10
Finish Date
2016-07-15
Coverage Spatial
Barcelona, SPAIN