Geometric programming for communication systems
Communications and Information Theory
Channel Coding in the Presence of Side Information
Foundations and Trends in Communications and Information Theory
Multiaccess channels with state known to some encoders and independent messages
EURASIP Journal on Wireless Communications and Networking - Theory and Applications in Multiuser/Multiterminal Communications
An achievable rate region for the Gaussian Z-interference channel with conferencing
Allerton'09 Proceedings of the 47th annual Allerton conference on Communication, control, and computing
Achievable rate of Gaussian cognitive Z-interference channel with partial side information
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
| Hi-index | 754.84 |
We show that the duality between channel capacity and data compression is retained when state information is available to the sender, to the receiver, to both, or to neither. We present a unified theory for eight special cases of channel capacity and rate distortion with state information, which also extends existing results to arbitrary pairs of independent and identically distributed (i.i.d.) correlated state information (S1, S2) available at the sender and at the receiver, respectively. In particular, the resulting general formula for channel capacity C = maxp(u,x|s1) [I(U; S2, Y) I(U; S1)] assumes the same form as the generalized Wyner-Ziv (1976) rate distortion function R(D) = minp(u|x, s1)p(x&capped;|u, s2) [I(U; S 1, X) 1(U; S2)]