Deep Reinforcement Learning for Downlink Resource Allocation in Vehicular Small Cell Networks-Reference-Cited by-同舟云学术

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Deep Reinforcement Learning for Downlink Resource Allocation in Vehicular Small Cell Networks

Published:2022-12-14 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 21st International Symposium on Network Computing and Applications (NCA)
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Author:

Brahmi Ibtissem¹,Hamdi Monia²,Rahmany Ines³,Zarai Faouzi¹

Affiliation:

1. University of Sfax,NTS’COM Research Unit ENET’COM,Sfax,Tunisia

2. Princess Nourah bint Abdulrahman University,College of Computer and Information Sciences,Department of Information Technology,Riyadh,Saudi Arabia,11671

3. University of Kairouan,University of Sciences and Technology,Sidi Bouzid,Tunisia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10013484/10013503/10013505.pdf?arnumber=10013505

Reference23 articles.

1. Energy Efficient Traffic Offloading in Multi-Tier Heterogeneous 5G Networks Using Intuitive Online Reinforcement Learning

2. Deep Reinforcement Learning based Resource Allocation in Low Latency Edge Computing Networks

3. Deep Reinforcement Learning Based Resource Allocation for V2V Communications

4. Deep Reinforcement Learning for Vehicular Edge Computing

5. A new approach on multi-agent multi-objective reinforcement learning based on agents’ preferences;asl;2017 Artificial Intelligence and Signal Processing Conference (AISP) AISP,2017

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