Improving Secrecy with Nearly Collinear Main and Wiretap Channels via a Cooperative Jamming Relay
Shuai Han, Sai Xu, Weixiao Meng, Cheng Li

TL;DR
This paper addresses the challenge of high correlation between main and wiretap channels in physical layer security by proposing a cooperative jamming relay to improve secrecy performance in a MISOSE system.
Contribution
It introduces a cooperative jamming relay model and optimal power allocation strategies to mitigate channel correlation effects and enhance secrecy in physical layer security.
Findings
Significant secrecy performance gains with the proposed relay scheme.
Optimal power allocation improves secrecy outage probability.
The model effectively mitigates the adverse effects of channel correlation.
Abstract
In physical layer security (PHY-security), the frequently observed high correlation between the main and wiretap channels can cause a significant loss of secrecy. This paper investigates a slow fading scenario, where a transmitter (Alice) sends a confidential message to a legitimate receiver (Bob) while a passive eavesdropper (Eve) attempts to decode the message from its received signal. It is assumed that Alice is equipped with multiple antennas while Bob and Eve each have a single antenna (i.e., a MISOSE system). In a MISOSE system, high correlation results in nearly collinear main and wiretap channel vectors, which help Eve to see and intercept confidential information. Unfortunately, the signal processing techniques at Alice, such as beamforming and artificial noise (AN), are helpless, especially in the extreme case of completely collinear main and wiretap channel vectors. On this…
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 · Wireless Signal Modulation Classification · Cooperative Communication and Network Coding
