A Hybrid Scheme Using TOPSIS and Q-Learning for Handover Decision Making in UAV Assisted Heterogeneous Network-Reference-Cited by-同舟云学术

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A Hybrid Scheme Using TOPSIS and Q-Learning for Handover Decision Making in UAV Assisted Heterogeneous Network

Published:2024 Issue: Volume:12 Page:31422-31430
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Zhong Jihai¹^ORCID,Zhang Li¹^ORCID,Alhabo Mohanad²^ORCID,Serugunda Jonathan³,Mugala Sheila N.³^ORCID

Affiliation:

1. School of Electronic and Electrical Engineering, University of Leeds, Leeds, U.K.

2. Informatics and Telecommunication Public Company (ITPC), Iraqi Ministry of Communications, Mosul, Iraq

3. Electrical and Computer Engineering Department, Makerere University, Kampala, Uganda

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10443475.pdf?arnumber=10443475

Reference26 articles.

1. Unmanned aerial vehicles integrated HetNet for smart dense urban area

2. UAV-Assisted HetNets: Association Probability With Instantaneous Received Power

3. Non-Terrestrial Networks in the 6G Era: Challenges and Opportunities

4. Communication and networking technologies for UAVs: A survey

5. Toward a lightweight and efficient UAV‐aided VANET

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 approaches for handover decision of cellular-connected drones in future networks: A comprehensive review;Engineering Science and Technology, an International Journal;2024-07

2. An Efficient Access Point Assignment for Optical-Radio Networks by Multi-Attribute Decision-Making;2024 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit);2024-06-03

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