Energy Harvesting Fairness in AN-aided Secure MU-MIMO SWIPT Systems with Cooperative Jammer

TL;DR

This paper proposes an iterative algorithm to optimize energy harvesting fairness and secure communication in AN-assisted MU-MIMO SWIPT systems with a cooperative jammer, considering channel uncertainties.

Contribution

It introduces a novel approach combining artificial noise and cooperative jamming to enhance energy harvesting fairness and secrecy in SWIPT systems with channel uncertainty.

Findings

Proposed algorithm outperforms conventional schemes in simulations.

Enhanced energy harvesting fairness among ERs and CRs.

Improved secrecy rate performance under channel uncertainty.

Abstract

In this paper, we study a multi-user multiple-input-multiple-output secrecy simultaneous wireless information and power transfer (SWIPT) channel which consists of one transmitter, one cooperative jammer (CJ), multiple energy receivers (potential eavesdroppers, ERs), and multiple co-located receivers (CRs). We exploit the dual of artificial noise (AN) generation for facilitating efficient wireless energy transfer and secure transmission. Our aim is to maximize the minimum harvested energy among ERs and CRs subject to secrecy rate constraints for each CR and total transmit power constraint. By incorporating norm-bounded channel uncertainty model, we propose a iterative algorithm based on sequential parametric convex approximation to find a near-optimal solution. Finally, simulation results are presented to validate the performance of the proposed algorithm outperforms that of the conventional AN-aided scheme and CJ-aided scheme.