Elements of Information Theory (Wiley Series in Telecommunications and Signal Processing)
Elements of Information Theory (Wiley Series in Telecommunications and Signal Processing)
Additive successive refinement
IEEE Transactions on Information Theory
Capacity of a class of relay channels with orthogonal components
IEEE Transactions on Information Theory
On channels with partial channel state information at the transmitter
IEEE Transactions on Information Theory
Cooperative Strategies and Capacity Theorems for Relay Networks
IEEE Transactions on Information Theory
Gaussian Orthogonal Relay Channels: Optimal Resource Allocation and Capacity
IEEE Transactions on Information Theory
Capacity of a Class of Deterministic Relay Channels
IEEE Transactions on Information Theory
Channel Coding in the Presence of Side Information
Foundations and Trends in Communications and Information Theory
On the rate-limited Gelfand-Pinsker problem
ISIT'09 Proceedings of the 2009 IEEE international conference on Symposium on Information Theory - Volume 3
Interference management using nonlinear relaying
IEEE Transactions on Communications
Hi-index | 754.84 |
This paper characterizes the capacity of a class of modular additive noise relay channels, in which the relay observes a corrupted version of the noise and has a separate channel to the destination. The capacity is shown to be strictly below the cut-set bound in general and adhievable using a quantize-and-forward strategy at the relay. This result confirms a previous conjecture on the capacity of channels with rate-limited side information at the receiver for this particular class of modulo-sum channels. This paper also considers a more general setting in which the relay is capable of conveying noncausal rate-limited side information about the noise to both the transmitter and the receiver. The capacity is characterized for the case where the channel is binary symmetric with a crossover probability 1/2. In this case, the rates available for conveying side information to the transmitter and to the receiver can be traded with each other arbitrarily--the capacity is a function of the sum of the two rates.