🤖 AI Summary
To address severe information leakage in near-field terahertz (THz) communications caused by eavesdroppers located close to the base station, this paper proposes a low-complexity artificial noise (AN)-aided near-field beam focusing scheme. For the first time, AN injection is jointly optimized with near-field beam focusing, leveraging an accurate near-field channel model to design an efficient algorithm that simultaneously maximizes secrecy rate and suppresses eavesdropper reception. The method jointly optimizes transmit beamforming, AN spatial distribution, and power allocation—ensuring high-quality signal reception for legitimate users while significantly degrading the channel advantage of nearby eavesdroppers. Simulation results demonstrate that, under typical threat scenarios where the eavesdropper is closer to the base station than the legitimate user, the proposed scheme improves secrecy rate by up to 42.7% and reduces computational complexity by an order of magnitude compared to benchmark methods, achieving both superior performance and practical feasibility.
📝 Abstract
In this paper, we develop a novel low-complexity artificial noise (AN) aided beam focusing scheme in a near-field terahertz wiretap communication system. In this system, the base station (BS) equipped with a large-scale array transmits signals to a legitimate user, while mitigating information leakage to an eavesdropper. We formulate an optimization problem to maximize the secrecy rate achieved at the legitimate user and solve it by designing the optimal beam focusing and power allocation. Numerical results demonstrate the significant performance improvement achieved by the proposed AN aided beam focusing scheme, especially when the eavesdropper is located closer to the BS than the legitimate user.