Achievable Secrecy Rate for the Relay Eavesdropper Channel with Non-Causal State Available at Transmitter and Relay
Nematollah Zarmehi

TL;DR
This paper derives an achievable perfect secrecy rate for a relay-eavesdropper channel with non-causal state information at the transmitter and relay, enhancing secure communication strategies in complex wireless networks.
Contribution
It introduces a new achievable secrecy rate for the relay eavesdropper channel with non-causal state information, generalizing existing models and validating results for AWGN channels.
Findings
Derived a new secrecy rate formula for the REC-SI model.
Validated the theoretical results through numerical simulations.
Demonstrated the model's generalization of previous work.
Abstract
In this paper, we consider a more general four-terminal memoryless relay-eavesdropper channel with state information (REC-SI) and derive an achievable perfect secrecy rate for it. We suppose that the state information is non-causally available at the transmitter and relay only. The transmitter wishes to establish a secure communication with the legitimate receiver by the help of a relay where a confidential message will be kept secret from a passive eavesdropper. We consider active cooperation between the relay and transmitter. The relay helps the transmitter by relaying the message using decode-and-forward (DF) scheme. The proposed model is a generalization of some existing models and the derived achievable perfect secrecy rate is compared to the special cases. The results are also validated numerically for the additive white Gaussian noise (AWGN) channel.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsWireless Communication Security Techniques · Cooperative Communication and Network Coding · Advanced MIMO Systems Optimization
