Beamforming Aided Interference Management with Improved Secrecy for Correlated Channels

Abstract

This paper targets the joint optimization of the signal-to-interference-plus-noise ratio (SINR) and secrecy in wireless networks. Although the optimization of the SINR with beamforming in wireless networks is well known, the joint optimization of the secrecy and the SINR of the users is a new problem which gets a high relevance recently. The optimization problems investigated in this paper are based on the joint optimization of the beamforming vectors and transmit powers. This paper presents closed form solutions for two optimization approaches for a simple power control scenario with a single user and a single eavesdropper. Two approaches are distinguished: beamforming without artificial interference (AI) and beamforming with AI. For both approaches, this paper investigates a max-min based beamforming problem and a minimum eavesdropper SINR problem with an SINR constraint for the legitimate receiver.