Outage Constrained Secrecy Rate Maximization Using Cooperative Jamming
This work addresses secure communication in wireless networks with eavesdroppers, but it is incremental as it builds on existing cooperative jamming methods with channel uncertainty.
The paper tackled the problem of maximizing secrecy rate in a Gaussian MISO wiretap channel with cooperative jammers under eavesdropper channel uncertainty, deriving the optimal source covariance matrix and closed-form outage probability subject to outage and power constraints.
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.