English

First- and Second-Order Coding Theorems for Mixed Memoryless Channels with General Mixture

Information Theory 2016-05-09 v3 math.IT

Abstract

This paper investigates the first- and second-order maximum achievable rates of codes with/without cost constraints for mixed {channels} whose channel law is characterized by a general mixture of (at most) uncountably many stationary and memoryless discrete channels. These channels are referred to as {mixed memoryless channels with general mixture} and include the class of mixed memoryless channels of finitely or countably memoryless channels as a special case. For mixed memoryless channels with general mixture, the first-order coding theorem which gives a formula for the ε\varepsilon-capacity is established, and then a direct part of the second-order coding theorem is provided. A subclass of mixed memoryless channels whose component channels can be ordered according to their capacity is introduced, and the first- and second-order coding theorems are established. It is shown that the established formulas reduce to several known formulas for restricted scenarios.

Keywords

Cite

@article{arxiv.1501.05887,
  title  = {First- and Second-Order Coding Theorems for Mixed Memoryless Channels with General Mixture},
  author = {Hideki Yagi and Te Sun Han and Ryo Nomura},
  journal= {arXiv preprint arXiv:1501.05887},
  year   = {2016}
}

Comments

29 pages; submitted to IEEE Trans. on Information Theory, Jan. 2015. A conference version of this paper is presented at ISIT2015

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