Robust Secrecy Energy Efficient Beamforming in MISOME-SWIPT Systems With Proportional Fairness

TL;DR

This paper proposes a robust beamforming design for MISOME-SWIPT systems that maximizes secrecy energy efficiency under imperfect channel conditions and fairness constraints, using convex optimization techniques.

Contribution

It introduces a novel approach to optimize secrecy energy efficiency in SWIPT systems with imperfect CSI and fairness, transforming a non-convex problem into convex subproblems.

Findings

The proposed algorithm effectively enhances secrecy energy efficiency.

Numerical results demonstrate the robustness of the approach.

The method balances security, energy efficiency, and fairness constraints.

Abstract

The joint design of beamforming vector and artificial noise covariance matrix is investigated for multiple-input-single-output-multiple-eavesdropper simultaneous wireless information and power transferring (MISOME-SWIPT) systems. A secrecy energy efficiency (SEE) maximization problem is formulated in the MISOME-SWIPT system with imperfect channel state information and proportional secrecy rate constraints. Since the formulated SEE maximization problem is non-convex, it is first recast into a series of convex problems in order to obtain the optimal solution with a reasonable computational complexity. Numerical results are used to verify the performance of the proposed algorithm and to reveal practical insights.