DocumentCode :
3118712
Title :
Capacity region of the finite state MAC with cooperative encoders and delayed CSI
Author :
Goldfeld, Ziv ; Permuter, Haim H. ; Zaidel, Benjamin M.
Author_Institution :
Ben Gurion Univ. of the Negev, Beer-Sheva, Israel
fYear :
2012
fDate :
1-6 July 2012
Firstpage :
1692
Lastpage :
1696
Abstract :
In this paper, a single-letter characterization for the capacity region of finite-state multiple access channels (MACs) with partially cooperative encoders is derived. Partial cooperation here is in the sense that the encoders communicate with each other through finite-capacity links. The channel states are assumed to be governed by a Markov processes. Full channel state information (CSI) is assumed at the receiver, while only delayed CSI is available at transmitters. The capacity region is derived by first solving the case of finite-state multiple access channels with common message, using rate splitting, multiplexing and simultaneous decoding in order to establish the achievability. The common message result is then used to derive the capacity region of the partially cooperative encoders case. Finally, we apply this result in order to obtain the capacity region for a finite-state Gaussian MAC with partially cooperative encoders.
Keywords :
Markov processes; codecs; cooperative communication; decoding; multi-access systems; multiplexing; radio transmitters; Markov processes; capacity region; channel state information; channel states; delayed CSI; finite state MAC; finite-capacity links; finite-state Gaussian MAC; finite-state multiple access channels; multiplexing; partially cooperative encoders; rate splitting; simultaneous decoding; single-letter characterization; transmitters; Decoding; Delay; Encoding; Markov processes; Receivers; Silicon; Upper bound; Capacity region; Common message; Cooperative encoders; Delayed CSI; Finite-state channel; Fourier-Motzking elimination; Gaussian multiple-access channel; Multiple-access channel; Simultaneous decoding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Theory Proceedings (ISIT), 2012 IEEE International Symposium on
Conference_Location :
Cambridge, MA
ISSN :
2157-8095
Print_ISBN :
978-1-4673-2580-6
Electronic_ISBN :
2157-8095
Type :
conf
DOI :
10.1109/ISIT.2012.6283565
Filename :
6283565
Link To Document :
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