Adaptive Decoding Mechanisms for UAV-Enabled Double-Uplink Coordinated NOMA-Reference-Cited by-同舟云学术

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Adaptive Decoding Mechanisms for UAV-Enabled Double-Uplink Coordinated NOMA

Published:2023-08 Issue:8 Volume:72 Page:10200-10217
ISSN:0018-9545
Container-title:IEEE Transactions on Vehicular Technology
language:
Short-container-title:IEEE Trans. Veh. Technol.

Author:

Nguyen Thanh Luan¹^ORCID,Kaddoum Georges¹^ORCID,Do Tri Nhu¹^ORCID,da Costa Daniel Benevides²^ORCID,Haas Zygmunt J.³^ORCID

Affiliation:

1. Department of Electrical Engineering, the École de Technologie Supérieure (ÉTS), Université du Québec, Montréal, QC, Canada

2. Technology Innovation Institute, Masdar City, Abu Dhabi, United Arab Emirates

3. Department of Computer Science, University of Texas at Dallas, Richardson, TX, USA

Funder

National Science Foundation

Tier 2 Canada Research Chair program

Natural Sciences and Engineering Research Council of Canada

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Aerospace Engineering,Automotive Engineering

Link

https://ieeexplore.ieee.org/ielam/25/10230043/10077789-aam.pdf

Reference41 articles.

1. Evolution of NOMA Toward Next Generation Multiple Access (NGMA) for 6G

2. Optimal LAP Altitude for Maximum Coverage

3. Is NOMA Efficient in Multi-Antenna Networks? A Critical Look at Next Generation Multiple Access Techniques

4. Practical NOMA-Based Coordinated Direct and Relay Transmission

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1. Advancing Non-Line-of-Sight Communication: A Comprehensive Review of State-of-the-Art Technologies and the Role of Energy Harvesting;Sensors;2024-07-18

2. A Survey on Non-Orthogonal Multiple Access for Unmanned Aerial Vehicle Networks: Machine Learning Approach;IEEE Access;2024

3. Energy efficiency maximization for WPT-enabled UAV-assisted emergency communication with user mobility;Physical Communication;2023-12

4. Distributed Machine Learning for Terrestrial and Non-Terrestrial Internet of Things Networks;IEEE Internet of Things Magazine;2023-12

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