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Dirty Paper Arbitrarily Varying Channel with a State-Aware Adversary by Budkuley, Amitalok J.; Dey, Bikash Kumar; Prabhakaran, Vinod M. is a scholarly article available to read on EtoBox.

What is Dirty Paper Arbitrarily Varying Channel with a State-Aware Adversary about?

In this paper, we take an arbitrarily varying channel (AVC) approach to examine the problem of writing on a dirty paper in the presence of an adversary. We consider an additive white Gaussian noise (AWGN) channel with an additive white Gaussian state, where the state is known non-causally to the encoder and the adversary, but not the decoder. We determine the randomized coding capacity of this AVC under the maximal probability of error criterion. Interestingly, it is shown that the jamming adversary disregards the state knowledge to choose a white Gaussian channel input which is independent of the state.

Author

Budkuley, Amitalok J.; Dey, Bikash Kumar; Prabhakaran, Vinod M.

Published

2015

Language

EN