Secrecy Wireless Information and Power Transfer in OFDMA Systems

TL;DR

This paper proposes a novel frequency-domain artificial noise method for secure simultaneous wireless information and power transfer in OFDMA systems, optimizing resource allocation to maximize secrecy rates while satisfying energy harvesting needs.

Contribution

It introduces a new artificial noise approach and an efficient Lagrange duality-based algorithm for optimal resource allocation in SWIPT OFDMA systems.

Findings

The proposed algorithm outperforms heuristic schemes in secrecy rate maximization.

Artificial noise enhances physical-layer security without compromising energy harvesting.

Simulation results confirm the effectiveness of the resource allocation method.

Abstract

In this paper, we consider simultaneous wireless information and power transfer (SWIPT) in orthogonal frequency division multiple access (OFDMA) systems with the coexistence of information receivers (IRs) and energy receivers (ERs). The IRs are served with best-effort secrecy data and the ERs harvest energy with minimum required harvested power. To enhance physical-layer security and yet satisfy energy harvesting requirements, we introduce a new frequency-domain artificial noise based approach. We study the optimal resource allocation for the weighted sum secrecy rate maximization via transmit power and subcarrier allocation. The considered problem is non-convex, while we propose an efficient algorithm for solving it based on Lagrange duality method. Simulation results illustrate the effectiveness of the proposed algorithm as compared against other heuristic schemes.