Multi-Task Communication Resource Allocation for MIMO-Based Vehicular Fog Computing-Reference-Cited by-同舟云学术

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Multi-Task Communication Resource Allocation for MIMO-Based Vehicular Fog Computing

Published:2024-01 Issue:1 Volume:73 Page:1115-1128
ISSN:0018-9545
Container-title:IEEE Transactions on Vehicular Technology
language:
Short-container-title:IEEE Trans. Veh. Technol.

Author:

Zhu Chao¹^ORCID,Xie Xinlei²^ORCID,Zhang Ruoyi¹^ORCID,Li Ruijin³^ORCID,Zhu Bin⁴^ORCID,Bu Xiangyuan²^ORCID

Affiliation:

1. School of Cyberspace Science and Technology, Beijing Institute of Technology, Beijing, China

2. School of Information and Electronics, Beijing Institute of Technology, Beijing, China

3. School of Electrical Engineering and Telecommunications, University of New South Wales, Sydney, NSW, Australia

4. School of Management and Economics, Beijing Institute of Technology, Beijing, China

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

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

Link

http://xplorestaging.ieee.org/ielx7/25/10400535/10237302.pdf?arnumber=10237302

Reference49 articles.

1. Joint CCI Mitigation and Power Control for MC-DS-CDMA in LEO Satellite Networks

2. Vehicular fog computing: Vision and challenges

3. Optimal Pulse-Position Modulation Order and Transmit Power in Covert Communications

4. Robust and Secure Sum-Rate Maximization for Multiuser MISO Downlink Systems With Self-Sustainable IRS

5. Millimeter-Wave Enhanced Local Area Systems: A High-Data-Rate Approach for Future Wireless Networks

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1. Energy-Efficient Resource Allocation for V2X Communications;IEEE Internet of Things Journal;2024-09-15

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