RIS-Aided 6G Communication System With Accurate Traceable User Mobility

Author:

Zhang Peng1,Zhang Jiayi1ORCID,Xiao Huahua2,Du Hongyang3ORCID,Niyato Dusit3ORCID,Ai Bo1ORCID

Affiliation:

1. School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China

2. ZTE Corporation, State Key Laboratory of Mobile Network and Mobile Multimedia Technology, Shenzhen, China

3. School of Computer Science and Engineering, Nanyang Technological University, Singapore

Funder

Fundamental Research Funds for the Central Universities

Natural Science Foundation of Jiangsu Province

Frontiers Science Center for Smart High-speed Railway System

ZTE Corporation

State Key Laboratory of Mobile Network and Mobile Multimedia Technology

National Research Foundation

Info-communications Media Development Authority

Future Communications Research & Development Programme

AI Singapore Programme

Energy Research Test-Bed and Industry Partnership Funding Initiative through Energy Grid

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Aerospace Engineering,Automotive Engineering

Cited by 10 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Joint Sensing and Communication Optimization in Target-Mounted STARS-Assisted Vehicular Networks: A MADRL Approach;IEEE Transactions on Vehicular Technology;2024-07

2. Online-Learning-Based Multi-RIS-Aided Wireless Systems;IEEE Systems Journal;2024-06

3. An Expectation Maximization-aided Bayesian Beam Tracking Approach for RIS in Mobility Scenarios;2024 IEEE International Workshop on Radio Frequency and Antenna Technologies (iWRF&AT);2024-05-31

4. RIS Assisted Millimeter Wave Communication with Imperfect CSI Based on DRL;2024 9th International Conference on Computer and Communication Systems (ICCCS);2024-04-19

5. RIS-Aided Cell-Free Massive MIMO Systems for 6G: Fundamentals, System Design, and Applications;Proceedings of the IEEE;2024-04

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