An Intelligent Path Loss Prediction Approach Based on Integrated Sensing and Communications for Future Vehicular Networks-Reference-Cited by-同舟云学术

An Intelligent Path Loss Prediction Approach Based on Integrated Sensing and Communications for Future Vehicular Networks

Published:2024 Issue: Volume:5 Page:170-180
ISSN:2644-1268
Container-title:IEEE Open Journal of the Computer Society
language:
Short-container-title:IEEE Open J. Comput. Soc.

Author:

Wei Zixiang¹^ORCID,Mao Bomin¹^ORCID,Guo Hongzhi¹^ORCID,Xun Yijie¹^ORCID,Liu Jiajia¹^ORCID,Kato Nei²^ORCID

Affiliation:

1. National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, School of Cybersecurity, Northwestern Polytechnical University, Xi'an, China

2. Graduate School of Information Sciences, Tohoku University, Sendai, Japan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/8782664/10375894/10495097.pdf?arnumber=10495097

Reference44 articles.

1. Intelligent Reflecting Surface-Aided Vehicular Networks Toward 6G: Vision, Proposal, and Future Directions

2. Deep Learning-Based Path Loss Prediction for Fifth-Generation New Radio Vehicle Communications

3. Joint Optimization of Energy and Delay in Task Offloading Process of Electric Connected Vehicles

4. On An Intelligent Task Offloading Model to Jointly Optimize Latency and Energy for Electric Connected Vehicles

5. Intelligent Reflecting Surface in 6G Vehicular Communications: A Survey

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