most citedA Cluster-Based Statistical Channel Model for Integrated Sensing and Communication Channels

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

eess.SP2024

AI-Empowered RIS-Assisted Networks: CV-Enabled RIS Selection and DNN-Enabled Transmission

Conggang Hu, Yang Lu, Hongyang Du +3

This paper investigates artificial intelligence (AI) empowered schemes for reconfigurable intelligent surface (RIS) assisted networks from the perspective of fast implementation. W…

eess.SP2024

Channel Measurements and Modeling for Dynamic Vehicular ISAC Scenarios at 28 GHz

Zhengyu Zhang, Ruisi He, Bo Ai +4

Integrated sensing and communication (ISAC) is a promising technology for 6G, with the goal of providing end-to-end information processing and inherent perception capabilities for…

eess.SP2024

Characterization of Wireless Channel Semantics: A New Paradigm

Zhengyu Zhang, Ruisi He, Mi Yang +4

Recently, deep learning enabled semantic communications have been developed to understand transmission content from semantic level, which realize effective and accurate information…

eess.SP20241 cited

A Cluster-Based Statistical Channel Model for Integrated Sensing and Communication Channels

Zhengyu Zhang, Ruisi He, Bo Ai +6

The emerging 6G network envisions integrated sensing and communication (ISAC) as a promising solution to meet growing demand for native perception ability. To optimize and evaluate…

eess.SY2022

5G for Railways: the Next Generation Railway Dedicated Communications

Ruisi He, Bo Ai, Zhangdui Zhong +6

To overcome increasing traffic, provide various new services, further ensure safety and security, significantly improve travel comfort, a new communication system for railways is r…