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

Abstract

We 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. We 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, we establish lower bounds on channel capacity. For the Gaussian case, we derive lower and upper bounds on the channel capacity. The upper bound is strictly better than the cut-set upper bound. We show that one of the developed lower bounds comes close to the upper bound, asymptotically, for certain ranges of rates.

5 pages, submitted to 2010 IEEE International Symposium on Information Theory

References in corpus (2)

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

Cited by in corpus (8)

• Bounds on the Capacity of the Relay Channel with Noncausal State Information at Source
• Message and State Cooperation in a Relay Channel When Only the Relay Knows the State
• On Cooperative Multiple Access Channels with Delayed CSI at Transmitters
• Relay Channel with Orthogonal Components and Structured Interference Known at the Source
• Distributed Interference Cancellation in Multiple Access Channels
• State-Dependent Relay Channel with Private Messages with Partial Causal and Non-Causal Channel State Information
• Structured interference-mitigation in two-hop networks
• Capacity of a Class of State-Dependent Orthogonal Relay Channels