Mimicking Full-Duplex Secure Communications for Buffer-Aided Multi-Relay Systems
Jiayu Zhou, Deli Qiao, and Haifeng Qian

TL;DR
This paper introduces a novel relay selection protocol for buffer-aided cooperative wireless networks that enhances secure communication by mimicking full-duplex operation and improving secrecy throughput against eavesdroppers.
Contribution
It proposes a max-ratio relaying protocol with a randomize-and-forward strategy, providing theoretical analysis and closed-form expressions for secrecy throughput, verified by simulations.
Findings
Significant improvement in secrecy throughput over existing policies
Effective relay selection based on channel ratios
Theoretical analysis matches simulation results
Abstract
This paper considers secure communication in buffer-aided cooperative wireless networks in the presence of one eavesdropper, which can intercept the data transmission from both the source and relay nodes. A new max-ratio relaying protocol is proposed, in which different relays are chosen for reception and transmission according to the ratio of the legitimate channels to the eavesdropper channels, so that the relay selected for reception and the relay selected for transmission can receive and transmit at the same time. It is worth noting that the relay employs a randomize-and-forward (RF) strategy such that the eavesdropper can only decode the signals received in the two hops independently. Theoretical analysis of the secrecy throughput of the proposed scheme is provided and the approximate closed-form expressions are derived, which are verified by simulations. Through numerical results,…
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 · Privacy-Preserving Technologies in Data
