Enhanced Deep Cooperative Q-Learning for Optimized Vehicle-to-Vehicle Communication in 5G/6G Networks-Reference-Cited by-同舟云学术

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Enhanced Deep Cooperative Q-Learning for Optimized Vehicle-to-Vehicle Communication in 5G/6G Networks

Published:2023-10-11 Issue: Volume: Page:473-477
ISSN:
Container-title:2023 14th International Conference on Information and Communication Technology Convergence (ICTC)
language:
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Author:

Ahmed Tahir H.¹,Mahmud Azwan¹,Aziz Azlan Abd²,Yaacob Syamsuri³

Affiliation:

1. Multimedia University,Faculty of Engineering,Cyberjaya,Malaysia

2. Multimedia University,Faculty of Engineering and Technology,Melaka,Malaysia

3. University Putra Malaysia (UPM),Faculty of Engineering,Serdang,Selangor,Malaysia,43400

Funder

Ministry of Higher Education

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10391854/10391860/10393668.pdf?arnumber=10393668

Reference10 articles.

1. Dynamic QoS Management for a Flexible 5G/6G Network Core: A Step toward a Higher Programmability

2. Evaluating the Performance of Proposed Switched Beam Antenna Systems in Dynamic V2V Communication Networks

3. Deep Reinforcement Learning-Based Adaptive Beam Tracking and Resource Allocation in 6G Vehicular Networks with Switched Beam Antennas

4. Large-Size Data Distribution in IoV Based on 5G/6G Compatible Heterogeneous Network

5. Secure Transmission in Cellular V2X Communications Using Deep Q-Learning

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