Outage Constrained Secrecy Rate Maximization Using Cooperative Jamming

TL;DR

This paper addresses maximizing secrecy rate in a MISO wiretap channel with cooperative jamming under channel uncertainty, deriving optimal transmission strategies and outage probabilities to enhance secure communication.

Contribution

It introduces a method to optimize the source covariance matrix for secrecy rate maximization considering outage constraints and eavesdropper channel uncertainty.

Findings

Closed-form outage probability expression derived.

Optimal covariance matrix for source signal obtained.

Simulation results validate the theoretical analysis.

Abstract

We consider a Gaussian MISO wiretap channel, where a multi-antenna source communicates with a single-antenna destination in the presence of a single-antenna eavesdropper. The communication is assisted by multi-antenna helpers that act as jammers to the eavesdropper. Each helper independently transmits noise which lies in the null space of the channel to the destination, thus creates no interference to the destination. Under the assumption that there is eavesdropper channel uncertainty, we derive the optimal covariance matrix for the source signal so that the secrecy rate is maximized subject to probability of outage and power constraints. Assuming that the eavesdropper channels follow zero-mean Gaussian model with known covariances, we derive the outage probability in a closed form. Simulation results in support of the analysis are provided.