English

Finite Blocklength and Dispersion Bounds for the Arbitrarily-Varying Channel

Information Theory 2018-01-12 v1 math.IT

Abstract

Finite blocklength and second-order (dispersion) results are presented for the arbitrarily-varying channel (AVC), a classical model wherein an adversary can transmit arbitrary signals into the channel. A novel finite blocklength achievability bound is presented, roughly analogous to the random coding union bound for non-adversarial channels. This finite blocklength bound, along with a known converse bound, is used to derive bounds on the dispersion of discrete memoryless AVCs without shared randomness, and with cost constraints on the input and the state. These bounds are tight for many channels of interest, including the binary symmetric AVC. However, the bounds are not tight if the deterministic and random code capacities differ.

Keywords

Cite

@article{arxiv.1801.03594,
  title  = {Finite Blocklength and Dispersion Bounds for the Arbitrarily-Varying Channel},
  author = {Oliver Kosut and Joerg Kliewer},
  journal= {arXiv preprint arXiv:1801.03594},
  year   = {2018}
}

Comments

7 pages, full version of paper submitted to the 2018 IEEE International Symposium on Information Theory