Enhancing Channel Selection in 5G with Decentralized Federated Multi-Agent Deep Reinforcement Learning
The increasing popularity of vehicular communication systems necessitates efficient and autonomous decision-making to address the challenges of vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communications. In this paper, we present a comprehensive study on channelization in Cellular V...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Ferdowsi University of Mashhad
2024-12-01
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| Series: | Computer and Knowledge Engineering |
| Subjects: | |
| Online Access: | https://cke.um.ac.ir/article_45826_5014363e0f68262f4593f908220dec1b.pdf |
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