# Physical Layer Security in Near-Field Communications

arXiv: https://arxiv.org/abs/2302.04189 · HTML: https://mlsanity.com/paper/2302.04189/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 8 Feb 2023.

## Built on by (most cited first, 2 of 2)

- [Near-field Beam training for Extremely Large-scale MIMO Based on Deep Learning](https://mlsanity.com/paper/2406.03249/) (2024)
- [Maximum-Likelihood Estimation Based on Diffusion Model For Wireless Communications](https://mlsanity.com/paper/2409.14031/) (2024)

## Abstract (arXiv)

A near-field secure transmission framework is proposed. Employing the hybrid beamforming architecture, a multi-antenna base station (BS) transmits confidential information to a multi-antenna legitimate user (U) against a multi-antenna eavesdropper (E) in the near field. A two-stage algorithm is proposed to maximize the near-field secrecy capacity. Based on the fully-digital beamformers obtained in the first stage, the optimal analog beamformers and baseband digital beamformers can be alternatingly derived in the closed-form expressions in the second stage. Numerical results demonstrate that in contrast to the far-field secure communication relying on the angular disparity, the near-field secure communication mainly relies on the distance disparity between U and E.
