Networking

Bounds on the Capacity of the Relay Channel With Noncausal State Information at Source

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Executive Summary

The authors consider a three-terminal state-dependent relay channel with the channel state available non-causally at only the source. Such a model may be of interest for node cooperation in the framework of cognition, i.e., collaborative signal transmission involving cognitive and non-cognitive radios. They study the capacity of this communication model. One principal problem in this setup is caused by the relay's not knowing the channel state. In the Discrete Memoryless (DM) case, they establish lower bounds on channel capacity. For the Gaussian case, they derive lower and upper bounds on the channel capacity. The upper bound is strictly better than the cut-set upper bound. They show that one of the developed lower bounds comes close to the upper bound, asymptotically, for certain ranges of rates.

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