IRS-Assisted High-Speed Railway Secure Communications: Deep Learning for Joint Beamforming

Cuiran Li; Shujing Sun; Zepeng Zhang; Bo Ai; Hao Wu; Jianli Xie

doi:10.1109/tits.2025.3649823

ScienceGate Book Chapters

JOURNAL ARTICLE

IRS-Assisted High-Speed Railway Secure Communications: Deep Learning for Joint Beamforming

Cuiran Li Shujing Sun Zepeng Zhang Bo Ai Hao Wu Jianli Xie

Year: 2026 Journal: IEEE Transactions on Intelligent Transportation Systems Pages: 1-11 Publisher: Institute of Electrical and Electronics Engineers

DOI: 10.1109/tits.2025.3649823

Get Full-Text PDF Get Analytical Report

Keywords:

Deep learning Joint (building) Beamforming Artificial neural network Intelligent transportation system

Metrics

Cited By

0.00

FWCI (Field Weighted Citation Impact)

Refs

0.83

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Topics

Millimeter-Wave Propagation and Modeling

Physical Sciences → Engineering → Electrical and Electronic Engineering

Advanced MIMO Systems Optimization

Physical Sciences → Engineering → Electrical and Electronic Engineering

Wireless Signal Modulation Classification

Physical Sciences → Computer Science → Artificial Intelligence

IRS-Assisted High-Speed Railway Secure Communications: Deep Learning for Joint Beamforming

Metrics

Topics

Related Documents

Deep Learning Based Joint Beamforming Design in IRS-Assisted Secure Communications

IRS-Assisted UAV Secure Communications via Joint Collaborative and Passive Beamforming

Joint Transmit Precoding and Reflect Beamforming for IRS-Assisted MIMO-OFDM Secure Communications

RIS-Assisted Scheduling for High-Speed Railway Secure Communications

Deep Learning-Empowered Predictive Beamforming for IRS-Assisted Multi-User Communications