DocumentCode
2522378
Title
The Gaussian MAC with conferencing encoders
Author
Bross, Shraga I. ; Lapidoth, Amos ; Wigger, Michele A.
Author_Institution
Bar Ilan Univ., Ramat Gan
fYear
2008
fDate
6-11 July 2008
Firstpage
2702
Lastpage
2706
Abstract
We derive the capacity region of the Gaussian version of Willemspsilas two-user MAC with conferencing encoders. This setting differs from the classical MAC in that, prior to each transmission block, the two transmitters can communicate with each other over noise-free bit-pipes of given capacities. The derivation requires a new technique for proving the optimality of Gaussian input distributions in certain mutual information maximizations under a Markov constraint. We also consider a Costa-type extension of the Gaussian MAC with conferencing encoders. In this extension, the channel can be described as a two-user MAC with Gaussian noise and Gaussian interference where the interference is known non-causally to the encoders but not to the decoder. We show that as in Costa´s setting the interference sequence can be perfectly canceled, i.e., that the capacity region without interference can be achieved.
Keywords
Gaussian channels; Gaussian distribution; Gaussian noise; Markov processes; channel capacity; channel coding; interference suppression; multi-access systems; multiuser channels; Costa-type extension; Gaussian MAC; Gaussian input distribution; Gaussian interference; Gaussian noise; Markov constraint; Willems two-user MAC; channel capacity region; conferencing encoders; interference sequence cancellation; multiple access channel; mutual information maximization; noise-free bit-pipes; transmission block; Covariance matrix; Decoding; Gallium nitride; Gaussian distribution; Gaussian noise; Interference cancellation; Interference constraints; Mutual information; Network address translation; Transmitters;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Theory, 2008. ISIT 2008. IEEE International Symposium on
Conference_Location
Toronto, ON
Print_ISBN
978-1-4244-2256-2
Electronic_ISBN
978-1-4244-2257-9
Type
conf
DOI
10.1109/ISIT.2008.4595483
Filename
4595483
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