MATD3-Based Joint User Association and Resource Allocation in UAV Networks-Reference-Cited by-同舟云学术

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MATD3-Based Joint User Association and Resource Allocation in UAV Networks

Published:2023-12-04 Issue: Volume: Page:6892-6897
ISSN:
Container-title:GLOBECOM 2023 - 2023 IEEE Global Communications Conference
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Author:

Zhang Hualei¹,Du Jun¹,Jiang Chunxiao²,Fakhreddine Aymen³,Alhammadi Ahmed³,Wang Jintao¹

Affiliation:

1. Tsinghua University,Department of Electronic Engineering,Beijing,China,100084

2. Tsinghua University,Beijing National Research Center for Information Science and Technology,Beijing,China,100084

3. Technology Innovation Institute,Abu Dhabi,United Arab Emirates

Funder

National Natural Science Foundation China

CAST

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10436708/10436716/10436877.pdf?arnumber=10436877

Reference12 articles.

1. Enhancing the Delay Performance of Dynamic Backpressure Algorithms

2. Machine Learning for 6G Wireless Networks: Carrying Forward Enhanced Bandwidth, Massive Access, and Ultrareliable/Low-Latency Service

3. Multi-Agent Deep Reinforcement Learning for Task Offloading in UAV-Assisted Mobile Edge Computing

4. SDN-Based Resource Allocation in Edge and Cloud Computing Systems: An Evolutionary Stackelberg Differential Game Approach

5. Deep Reinforcement Learning Approach for UAV-Assisted Mobile Edge Computing Networks

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