Transmission of Correlated Messages over Interference Channels with Strong Interference

作者: S. CHOI , E. YOON , H. MOON

DOI: 10.1093/IETCOM/E91-B.12.3998

关键词:

摘要: Transmission of correlated messages over interference channels with strong is considered. As a result, an achievable rate region presented. It shown that if the are correlated, can be larger than capacity given by Costa and El Gamal. example, Gaussian channel

参考文章(16)
A. Carleial, Outer bounds on the capacity of interference channels (Corresp.) IEEE Transactions on Information Theory. ,vol. 29, pp. 602- 606 ,(1983) , 10.1109/TIT.1983.1056697
R. Ahlswede, The Capacity Region of a Channel with Two Senders and Two Receivers Annals of Probability. ,vol. 2, pp. 805- 814 ,(1974) , 10.1214/AOP/1176996549
M. Costa, A.E. Gamal, The capacity region of the discrete memoryless interference channel with strong interference (Corresp.) IEEE Transactions on Information Theory. ,vol. 33, pp. 710- 711 ,(1987) , 10.1109/TIT.1987.1057340
On the Gaussian interference channel IEEE Transactions on Information Theory. ,vol. 31, pp. 607- 615 ,(1985) , 10.1109/TIT.1985.1057085
Abolfazl Seyed Motahari, Amir Keyvan Khandani, Capacity Bounds for the Gaussian Interference Channel IEEE Transactions on Information Theory. ,vol. 55, pp. 620- 643 ,(2009) , 10.1109/TIT.2008.2009807
Te Han, K. Kobayashi, A new achievable rate region for the interference channel IEEE Transactions on Information Theory. ,vol. 27, pp. 49- 60 ,(1981) , 10.1109/TIT.1981.1056307
H. Sato, Two-user communication channels IEEE Transactions on Information Theory. ,vol. 23, pp. 295- 304 ,(1977) , 10.1109/TIT.1977.1055710
Thomas M. Cover, Joy A. Thomas, Elements of information theory ,(1991)
Suhan Choi, S. Sandeep Pradhan, A Graph-Based Framework for Transmission of Correlated Sources Over Broadcast Channels IEEE Transactions on Information Theory. ,vol. 54, pp. 2841- 2856 ,(2008) , 10.1109/TIT.2008.924671
H. Sato, The capacity of the Gaussian interference channel under strong interference (Corresp.) IEEE Transactions on Information Theory. ,vol. 27, pp. 786- 788 ,(1981) , 10.1109/TIT.1981.1056416