Multi-Agent Context Learning Strategy for Interference-Aware Beam Allocation in mmWave Vehicular Communications-Reference-Cited by-同舟云学术

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Multi-Agent Context Learning Strategy for Interference-Aware Beam Allocation in mmWave Vehicular Communications

Published:2024-07 Issue:7 Volume:25 Page:7477-7493
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Kose Abdulkadir¹^ORCID,Lee Haeyoung²^ORCID,Foh Chuan Heng³^ORCID,Shojafar Mohammad³^ORCID

Affiliation:

1. Department of Computer Engineering, Abdullah Gül University, Kayseri, Turkey

2. School of Physics, Engineering and Computer Science, University of Hertfordshire, Hatfield, U.K

3. 5GIC & 6GIC, Institute for Communication Systems (ICS), University of Surrey, Guildford, U.K

Funder

Horizon 2020 Marie Skłodowska-Curie Actions

DEDICAT 6G

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6979/10582787/10433881.pdf?arnumber=10433881

Reference42 articles.

1. Applications of vehicular communications for reducing fuel consumption and CO2 emission: the state of the art and research challenges

2. Virtual Cells for 5G V2X Communications

3. A Review on Autonomous Vehicles: Progress, Methods and Challenges

4. 5G NR-V2X: Toward Connected and Cooperative Autonomous Driving

5. A network-level connected autonomous driving evaluation platform implementing C-V2X technology

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