Distributed Channel Allocation for Mobile 6G Subnetworks via Multi-Agent Deep Q-Learning-Reference-Cited by-同舟云学术

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Distributed Channel Allocation for Mobile 6G Subnetworks via Multi-Agent Deep Q-Learning

Published:2023-03 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE Wireless Communications and Networking Conference (WCNC)
language:
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Author:

Adeogun Ramoni¹,Berardinelli Gilberto¹

Affiliation:

1. Aalborg University,AI for Communication Research Group,Department of Electronic Systems,Denmark

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10118584/10118587/10118710.pdf?arnumber=10118710

Reference21 articles.

1. 6G Architecture to Connect the Worlds

2. Communications in the 6G Era

3. Extreme Communication in 6G: Vision and Challenges for ‘in-X’ Subnetworks

4. 6G subnetworks for Life-Critical Communication

5. Machine Learning for Resource Management in Cellular and IoT Networks: Potentials, Current Solutions, and Open Challenges

Cited by 3 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. Comparative Analysis of Sub-Band Allocation Algorithms in In-Body Sub-Networks Supporting XR Applications;2024 IEEE Wireless Communications and Networking Conference (WCNC);2024-04-21

2. A Brief Review of Machine Learning-Based Approaches for Advanced Interference Management in 6G In-X Sub-networks;Lecture Notes on Data Engineering and Communications Technologies;2024

3. Distributed MIMO for 6G sub-Networks in the Unlicensed Spectrum;2023 IEEE Conference on Standards for Communications and Networking (CSCN);2023-11-06

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