Joint Information and Jamming Beamforming for Securing IoT Networks With Rate-Splitting

TL;DR

This paper introduces a novel artificial noise and rate-splitting beamforming scheme to enhance physical layer security in IoT networks, effectively hiding private messages from eavesdroppers while maximizing secrecy rates.

Contribution

It proposes a joint information and jamming beamforming method using rate-splitting and artificial noise, with a two-stage optimization algorithm for secure IoT communication.

Findings

Improved secrecy sum-rate performance over existing methods

Effective joint design of information and jamming beams

Validated through simulation results

Abstract

The goal of this paper is to address the physical layer (PHY) security problem for multi-user multi-input single-output (MU-MISO) Internet of Things (IoT) systems in the presence of passive eavesdroppers (Eves). To this end, we propose an artificial noise (AN)-aided rate-splitting (RS)-based secure beamforming scheme. Our design considers the dual use of common messages and places the research emphasis on hiding the private messages for secure communication. In particular, leveraging AN-aided RS-based beamforming, we aim to maximize the focused secrecy sum-rate (F-SSR) by jointly designing transmit information and AN beamforming while satisfying the desired received constraints for the private messages at IoT devices (IoDs), and per-antenna transmit power constraint at base station. Then, we proposed a two-stage algorithm to iteratively find the optimal solution. By transforming non-convex terms into linear terms, we first reformulate the original problem as a convex program. Next, we recast the optimization problem to an unconstrained problem to obtain the global optimal solutions. Utilizing the duality framework, we further develop an efficient algorithm based on a barrier interior point method to solve the reformulated problem. Simulation results validate the superior performance of our proposed schemes.