Wiretap channels with causal and non-causal state information: revisited
Te Sun Han, Masahide Sasaki

TL;DR
This paper revisits wiretap channels with causal and non-causal state information, extending achievable secret-message and secret-key rates, and providing a unifying theorem that simplifies previous encoding schemes.
Contribution
It introduces a unifying theorem for wiretap channels with causal CSI, removing the need for block-Markov encoding, and characterizes the exact secret-message key capacity region.
Findings
Extended all previous achievable rate results.
Derived a unifying theorem for causal CSI scenarios.
Provided the exact capacity region for non-causal CSI at both parties.
Abstract
The coding problem for wiretap channels with causal channel state information (CSI) available at the encoder (Alice) and/or the decoder (Bob) is studied. We are concerned here particularily with the problem of achievable secret-message secret-key rate pairs under the semantic security criterion. Our main result extends all the previous results on achievable rates as given by Chia and El Gamal [10], Fujita [11], and Han and Sasaki [23]. In order to do this, we first derive a unifying theorem (Theorem 2) with causal CSI at Alice, which follows immediately by leveraging the unifying seminal theorem for wiretap channels with non-causal CSI at Alice as recently established by Bunin et al. [22]. The only thing to do here is just to re-interpret the latter non-causal one in a causal manner. A prominent feature of this approach is that we are able to dispense with the block-Markov encoding…
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Taxonomy
TopicsWireless Communication Security Techniques · Cellular Automata and Applications · DNA and Biological Computing
