Artificial Noise-Aided User Scheduling From the Perspective of Secrecy Outage Probability

In this correspondence paper, we propose a secure user scheduling scheme, which selects a user for data transmission and an extra user for artificial noise generation in a multiuser single-input and multiple-output wiretap network. The proposed scheme does not require the instantaneous channel state information of the eavesdropper but effectively reduce the secrecy outage probability. Specifically, the secrecy outage probability of the proposed scheme is mathematically derived in closed form when we consider maximum-ratio combining at both desired receiver and eavesdropper. Through simulations, we verify our analytical results and investigate the effect of unknown location of the eavesdropper on the secrecy outage probability when we consider the notion of a secrecy protected zone.