Machine Learning-Based Resource Allocation Algorithms for 6G Networks-Reference-Cited by-同舟云学术

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Machine Learning-Based Resource Allocation Algorithms for 6G Networks

Published:2024-03-15 Issue: Volume: Page:
ISSN:
Container-title:2024 2nd International Conference on Disruptive Technologies (ICDT)
language:
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Author:

Anjum Sana¹,Upadhyay Deepak²,Singh Kamna³,Upadhyay Prashant⁴

Affiliation:

1. Noida Institute of Engineering and Technology,Department of CSE

2. Graphic Era Hill University,Computer Science and Engineering,Dehradun,Uttarakhand,India,248002

3. Ajay Kumar Garg Engineering College,Department of CSE,Ghaziabad,UP,India

4. School of Engineering and Technology, Sharda University,Department of Computer Science and Engineering,Gautam Budh Nagar,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10488912/10488915/10489587.pdf?arnumber=10489587

Reference15 articles.

1. Federated Reinforcement Learning-Based Resource Allocation in D2D-Enabled 6G

2. Collective reinforcement learning based resource allocation for digital twin service in 6G networks

3. Federated Reinforcement Learning-Based Resource Allocation for D2D-Aided Digital Twin Edge Networks in 6G Industrial IoT

4. Joint Sensing and Communications for Deep Reinforcement Learning-based Beam Management in 6G

5. A Comprehensive Review on Artificial Intelligence/Machine Learning Algorithms for Empowering the Future IoT Toward 6G Era

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Machine Learning based Dynamic Resource Allocation in 6G Network;2023 4th International Conference on Intelligent Technologies (CONIT);2024-06-21

2. A Comprehensive Survey on Resource Management in 6G Network Based on Internet of Things;IEEE Access;2024

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