Secure Antenna Selection and Beamforming in MIMO Systems

TL;DR

This paper introduces a joint antenna switching and beamforming design for MIMO wiretap channels, optimizing secrecy sum-rate with a novel iterative algorithm that outperforms benchmarks.

Contribution

It presents a new joint design approach for antenna selection and beamforming in secure MIMO systems, using fractional programming and penalty dual decomposition techniques.

Findings

The proposed algorithm effectively maximizes secrecy sum-rate.

Numerical results show superior performance over benchmarks.

The method handles NP-hard optimization efficiently.

Abstract

This work proposes a novel joint design for multiuser multiple-input multiple-output wiretap channels. The base station exploits a switching network to connect a subset of its antennas to the available radio frequency chains. The switching network and transmit beamformers are jointly designed to maximize the weighted secrecy sum-rate for this setting. The principal design problem reduces to an NP-hard mixed-integer non-linear programming. We invoke the fractional programming technique and the penalty dual decomposition method to develop a tractable iterative algorithm that effectively approximates the optimal design. Our numerical investigations validate the effectiveness of the proposed algorithm and its superior performance compared with the benchmark.