Correlation between Channel State and Information Source with Empirical Coordination Constraint

Abstract

Correlation between channel state and source symbol is under investigation for a joint source-channel coding problem. We investigate simultaneously the lossless transmission of information and the empirical coordination of channel inputs with the symbols of source and states. Empirical coordination is achievable if the sequences of source symbols, channel states, channel inputs and channel outputs are jointly typical for a target joint probability distribution. We characterize the joint distributions that are achievable under lossless decoding constraint. The performance of the coordination is evaluated by an objective function. For example, we determine the minimal distortion between symbols of source and channel inputs for lossless decoding. We show that the correlation source/channel state improves the feasibility of the transmission.

Conference IEEE ITW 2014

References in corpus (1)

• Correlation between Channel State and Information Source with Empirical Coordination Constraint

Cited by in corpus (5)

• Strong coordination of signals and actions over noisy channels with two-sided state information
• Empirical Coordination with Two-Sided State Information and Correlated Source and State
• Empirical Coordination with Channel Feedback and Strictly Causal or Causal Encoding
• Correlation between Channel State and Information Source with Empirical Coordination Constraint
• Coordination Through Shared Randomness