Wiretapped Signal Leakage Minimization for Secure Multiuser MIMO Systems via Interference Alignment

TL;DR

This paper introduces an interference alignment method for secure multiuser MIMO systems that minimizes signal leakage to eavesdroppers, significantly enhancing secrecy rates by optimizing transmit and receive matrices.

Contribution

It proposes a novel IA technique that minimizes wiretapped signals and interference, with proven convergence and improved secrecy performance in multiuser MIMO systems.

Findings

Significant increase in average secrecy sum rate compared to conventional IA.

Effective minimization of wiretapped signals and inter-user interference.

Convergence of the proposed IA algorithm is theoretically proven.

Abstract

In this paper, interference alignment (IA) is designed for secure multiuser multiple-input multiple-output systems in the presence of an eavesdropper. The proposed IA technique designs the transmit precoding and receiving subspace matrices to minimize both the total inter-main-link interference and the wiretapped signals. With perfect channel state information is known at the transmitters (Txs), the cost function of the optimization problem is alternatively minimized over the precoding matrices at the Txs and the receiving subspace matrices at the receivers (Rxs) and the eavesdropper. The feasible condition, the proof of convergence of the proposed IA approach are provided. Numerical results reveal a significant improvement in terms of average secrecy sum rate of our IA algorithm as compared to the conventional IA design.