most citedSecret Key Generation for IRS-Assisted Multi-Antenna Systems: A Machine Learning-Based Approach

2 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

cs.IT2023

Performance Analysis for Hybrid Sub-6GHz-mmWave-THz Networks with Downlink and Uplink Decoupled Cell Association

Yunbai Wang, Chen Chen, Xiaoli Chu

It is expected that 5G/6G networks will exploit sub-6 GHz, millimetre wave (mmWave) and terahertz (THz) frequency bands simultaneously and will increase flexibility in user equipme…

eess.SP2023★ 2 cited

Secret Key Generation for IRS-Assisted Multi-Antenna Systems: A Machine Learning-Based Approach

Chen Chen, Junqing Zhang, Tianyu Lu +2

Physical-layer key generation (PKG) based on wireless channels is a lightweight technique to establish secure keys between legitimate communication nodes. Recently, intelligent ref…

eess.SP2023

Machine Learning-Based Secret Key Generation for IRS-assisted Multi-antenna Systems

Chen Chen, Junqing Zhang, Tianyu Lu +2

Physical-layer key generation (PKG) based on wireless channels is a lightweight technique to establish secure keys between legitimate communication nodes. Recently, intelligent ref…

cs.IT2023★ 1 cited

A Distributed Machine Learning-Based Approach for IRS-Enhanced Cell-Free MIMO Networks

Chen Chen, Sai Xu, Jiliang Zhang +1

In cell-free multiple input multiple output (MIMO) networks, multiple base stations (BSs) collaborate to achieve high spectral efficiency. Nevertheless, high penetration loss due t…

cs.IT2022

Joint Precoding and Phase Shift Design in Reconfigurable Intelligent Surfaces-Assisted Secret Key Generation

Tianyu Lu, Liquan Chen, Junqing Zhang +2

Key generation is a promising technique to establish symmetric keys between resource-constrained legitimate users. However, key generation suffers from low secret key rate (SKR) in…