Joint Sensing and Communication Optimization in Target-Mounted STARS-Assisted Vehicular Networks: A MADRL Approach-Reference-Cited by-同舟云学术

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Joint Sensing and Communication Optimization in Target-Mounted STARS-Assisted Vehicular Networks: A MADRL Approach

Published:2024-07 Issue:7 Volume:73 Page:10011-10025
ISSN:0018-9545
Container-title:IEEE Transactions on Vehicular Technology
language:
Short-container-title:IEEE Trans. Veh. Technol.

Author:

Zhang Haocheng¹,Liu Rang²^ORCID,Li Ming¹^ORCID,Wang Wei¹,Liu Qian³^ORCID

Affiliation:

1. School of Information and Communication Engineering, Dalian University of Technology, Dalian, China

2. Center for Pervasive Communications and Computing, University of California, Irvine, CA, USA

3. School of Computer Science and Technology, Dalian University of Technology, Dalian, China

Funder

National Natural Science Foundation of China

Liaoning Applied Basic Research Program

Dalian Science and Technology Innovation Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/25/10606142/10436358.pdf?arnumber=10436358

Reference43 articles.

1. Integrated Sensing and Communications: Toward Dual-Functional Wireless Networks for 6G and Beyond

2. On the Road to 6G: Visions, Requirements, Key Technologies, and Testbeds

3. Integrating Sensing and Communications for Ubiquitous IoT: Applications, Trends, and Challenges

4. Sensing as a Service in 6G Perceptive Networks: A Unified Framework for ISAC Resource Allocation

5. Time-Division ISAC Enabled Connected Automated Vehicles Cooperation Algorithm Design and Performance Evaluation

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