AN-aided Secure Transmission in Multi-user MIMO SWIPT Systems

TL;DR

This paper proposes an energy harvesting scheme for secure multi-user MIMO systems using artificial noise, optimizing beamforming, AN covariance, and power splitting to minimize power while satisfying secrecy and energy constraints.

Contribution

It introduces a novel two-layer decomposition approach with SPCA for efficient, near-optimal solutions in secure MIMO SWIPT systems.

Findings

SPCA achieves similar performance to 1-D search with lower complexity.

The relaxation used in the optimization is proven to be tight.

Simulation results confirm the effectiveness of the proposed method.

Abstract

In this paper, an energy harvesting scheme for a multi-user multiple-input-multiple-output (MIMO) secrecy channel with artificial noise (AN) transmission is investigated. Joint optimization of the transmit beamforming matrix, the AN covariance matrix, and the power splitting ratio is conducted to minimize the transmit power under the target secrecy rate, the total transmit power, and the harvested energy constraints. The original problem is shown to be non-convex, which is tackled by a two-layer decomposition approach. The inner layer problem is solved through semi-definite relaxation, and the outer problem is shown to be a single-variable optimization that can be solved by one-dimensional (1-D) line search. To reduce computational complexity, a sequential parametric convex approximation (SPCA) method is proposed to find a near-optimal solution. Furthermore, tightness of the relaxation for the 1-D search method is validated by showing that the optimal solution of the relaxed problem is rank-one. Simulation results demonstrate that the proposed SPCA method achieves the same performance as the scheme based on 1-D search method but with much lower complexity.