@inproceedings{54cb246c974c49bab6c51f7701d3f5da,
title = "Sliding Window Adversarial Channels",
abstract = "In an arbitrarily varying channel (AVC), the channel has a state which is under the control of an adversarial jammer and the corresponding capacities are often functions of the 'power' constraints on the transmitter and jammer. In this paper we propose a model in which the constraints must hold almost surely over contiguous subsequences of the codeword and state, which we call a sliding window constraint. We study oblivious jammers and codes with stochastic encoding under maximum probability of error. We show that this extra limitation on the jammer is beneficial for the transmitter: in some cases, the capacity for unique decoding with a sliding window constraint is equal to the capacity for list decoding in the standard model without sliding windows, roughly implying that the addition of window constraints reduces list decoding to unique decoding. The list decoding capacity in the standard model can be strictly larger than the unique decoding capacity.",
author = "Dey, \{B. K.\} and S. Jaggi and M. Langberg and Sarwate, \{A. D.\} and Y. Zhang",
note = "Publisher Copyright: {\textcopyright} 2025 IEEE.; 2025 IEEE International Symposium on Information Theory, ISIT 2025 ; Conference date: 22-06-2025 Through 27-06-2025",
year = "2025",
doi = "10.1109/ISIT63088.2025.11195616",
language = "English",
series = "IEEE International Symposium on Information Theory - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "ISIT 2025 - 2025 IEEE International Symposium on Information Theory, Proceedings",
address = "United States",
}