Arbitrarily Varying Channels with Constrained Inputs and States.

Abstract

Random coding theorems are proved for discrete memoryless arbitrarily varying channels (AVCs) with constraints on the transmitted codewords and channel state sequences. We consider two types of constraints: peak (i.e., required for each n-length sequence almost surely) and average (over the messege set or over an ensemble). For peak constraints on the codewords and on the channel state sequences, the AVC is shown to have a (strong) random coding capacity. If the codewords and/or the channel state sequences are constrained in the average sense, the AVCs do not possess (strong) capacities; only EPSILON-capacities are shown to exist.