Information Theory: Coding Theorems for Discrete Memoryless Systems
Information Theory: Coding Theorems for Discrete Memoryless Systems
Topics in Multi-User Information Theory
Foundations and Trends in Communications and Information Theory
On the simultaneous relay channel with informed receivers
ISIT'09 Proceedings of the 2009 IEEE international conference on Symposium on Information Theory - Volume 2
Cooperative schemes for a source and an occasional nearby relay in wireless networks
IEEE Transactions on Information Theory
A broadcast approach for a single-user slowly fading MIMO channel
IEEE Transactions on Information Theory
Capacity of a class of relay channels with orthogonal components
IEEE Transactions on Information Theory
Space-time diversity enhancements using collaborative communications
IEEE Transactions on Information Theory
Cooperative Strategies and Capacity Theorems for Relay Networks
IEEE Transactions on Information Theory
Transmitting to colocated users in wireless ad hoc and sensor networks
IEEE Transactions on Information Theory
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A two-state compound relay channel is considered where the relay and the destination are informed about the channel state while the source is not. Achievable rates and upper bounds are derived for discrete memoryless and Gaussian models, and specialized to a scenario with orthogonal components. It is shown that, apart from some special cases, optimality conditions valid for decode-and-forward (DF)-based solutions on a standard relay channel do not carry over to a compound setting, and more flexible transmission strategies are generally advantageous. For instance, partial decode-and-forward (PDF) that superimposes transmission of three layers and uses joint decoding at the destination performs better than the standard two-layer PDF with successive decoding, even when the latter is optimal for the regular relay channel. Moreover, the capacity is derived in the special case in which the relay is not active in one state. Extension to the broadcast coding approach, as an alternative to the compound model, is also discussed.