DocumentCode :
932426
Title :
Multiple access channels with arbitrarily correlated sources
Author :
Cover, Thomas M. ; Gamal, Abbas El ; Salehi, Masoud
Volume :
26
Issue :
6
fYear :
1980
fDate :
11/1/1980 12:00:00 AM
Firstpage :
648
Lastpage :
657
Abstract :
Let 
be a source of independent identically distributed (i.i.d.) discrete random variables with joint probability mass function 
and common part 
in the sense of Witsenhausen, Gacs, and Körner. It is shown that such a source can be sent with arbitrarily small probability of error over a multiple access channel (MAC) 
with allowed codes 
if there exist probability mass functions 
, such that 
lifts region includes the multiple access channel region and the Slepian-Wolf data compression region as special cases.
be a source of independent identically distributed (i.i.d.) discrete random variables with joint probability mass function and common part in the sense of Witsenhausen, Gacs, and Körner. It is shown that such a source can be sent with arbitrarily small probability of error over a multiple access channel (MAC) with allowed codes if there exist probability mass functions , such that lifts region includes the multiple access channel region and the Slepian-Wolf data compression region as special cases.Keywords :
Data compression; Multiple-access communications; Source coding; Data compression; Helium; Information theory; Random variables; Statistics; Time sharing computer systems;
fLanguage :
English
Journal_Title :
Information Theory, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9448
Type :
jour
DOI :
10.1109/TIT.1980.1056273
Filename :
1056273
Link To Document :
