Resource-Optimized Vehicular Edge Networks With Fairness Constraints-Reference-Cited by-同舟云学术

Resource-Optimized Vehicular Edge Networks With Fairness Constraints

Author:

Rashid Aamir¹,Khan Latif U.²^ORCID,Khan Naeem³^ORCID,Min Hong⁴^ORCID,Ahmad Ayaz¹,Ahmad Shabir⁵^ORCID

Affiliation:

1. Department of Electrical and Computer Engineering, COMSATS University Islamabad, Wah Campus, Wah Cantt, Pakistan

2. Department of Machine Learning, Mohamed Bin Zayed University of Artificial Intelligence, Abu Dhabi, United Arab Emirates

3. Department of Electrical Engineering, University of Engineering and Technology, Peshawar, Pakistan

4. Department of AI Software Engineering, School of Computing, Gachon University, Sujeong-gu, Seongnam-si, Gyeonggi-do, Republic of Korea

5. Department of Computer Engineering, Gachon University, Sujeong-gu, Seongnam-si, Gyeonggi-do, Republic of Korea

Funder

Basic Science Research Program through the National Research Foundation of Korea

Ministry of Education

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

Reference29 articles.

1. Metaverse for wireless systems: Architecture, advances, standardization, and open challenges;Khan;arXiv:2301.11441,2023

2. Machine learning for metaverse-enabled wireless systems: Vision, requirements, and challenges;Khan;arXiv:2211.03703,2022

5. Uses of artificial intelligence in autonomous driving and V2X communication;Namatherdhala;Int. Res. J. Modernization Eng. Technol. Sci.,2022