Elements of information theory
Elements of information theory
Information Theory: Coding Theorems for Discrete Memoryless Systems
Information Theory: Coding Theorems for Discrete Memoryless Systems
On the capacity of bidirectional broadcast channels under channel uncertainty
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
The Capacity Region of the Gaussian Multiple-Input Multiple-Output Broadcast Channel
IEEE Transactions on Information Theory
Broadcast Capacity Region of Two-Phase Bidirectional Relaying
IEEE Transactions on Information Theory
Performance Bounds for Bidirectional Coded Cooperation Protocols
IEEE Transactions on Information Theory
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In this work, coding for a discrete memoryless broadcast channel with random states and two receivers is studied. Each receiver knows one of the two information sources at the sender and wants to know the other one. Since it is assumed that the sender knows the channel state sequence noncausally, an achievable rate region using Gel'fand-Pinsker-coding is derived. Further, a simpie outer bound to the capacity region as well as convexity and cardinality properties regarding the input probability distributions are discussed. The problem is motivated by the application of bidirectional comm unication between two terminals in a cellular system.