Capacity of Gaussian Arbitrarily-Varying Fading Channels
Fatemeh Hosseinigoki, Oliver Kosut

TL;DR
This paper analyzes the capacity of Gaussian arbitrarily-varying fading channels with various knowledge scenarios for the transmitter, receiver, and adversary, revealing how channel state information and adversarial power influence communication limits.
Contribution
It characterizes the capacity of such channels under different knowledge assumptions and identifies conditions where secure communication is possible despite adversarial interference.
Findings
Capacity equals standard fading channel with increased noise when adversary lacks gain knowledge.
Adversary with gain knowledge can reduce capacity to zero by mimicking the legitimate channel.
Capacity remains positive if the transmitter has non-causal gain knowledge and the adversary has causal gain knowledge.
Abstract
This paper considers an arbitrarily-varying fading channel consisting of one transmitter, one receiver and an arbitrarily varying adversary. The channel is assumed to have additive Gaussian noise and fast fading of the gain from the legitimate user to the receiver. We study four variants of the problem depending on whether the transmitter and/or adversary have access to the fading gains; we assume the receiver always knows the fading gains. In two variants the adversary does not have access to the gains, we show that the capacity corresponds to the capacity of a standard point-to-point fading channel with increased noise variance. The capacity of the other two cases, in which the adversary has knowledge of the channel gains, are determined by the worst-case noise variance as a function of the channel gain subject to the jammer's power constraint; if the jammer has enough power, then it…
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Taxonomy
TopicsWireless Communication Security Techniques · Cooperative Communication and Network Coding · Privacy-Preserving Technologies in Data
