Beyond D2D: Full Dimension UAV-to-Everything Communications in 6G
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Abstract (arXiv)
In this paper, we consider an Internet of unmanned aerial vehicles (UAVs) over cellular networks, where UAVs work as aerial users to collect various sensory data, and send the collected data to their transmission destinations over cellular links. Unlike the terrestrial users in the conventional cellular networks, different UAVs have various communication requirements due to their sensing applications, and a more flexible communication framework is in demand. To tackle this problem, we propose a UAV-to-Everything (U2X) networking, which enables the UAVs to adjust their communication modes full dimensionally according to the requirements of their sensing applications. In this article, we first introduce the concept of U2X communications, and elaborate on its three communication modes. Afterwards, we discuss the key techniques of the U2X communications, including joint sensing and transmission protocol, UAV trajectory design, and radio resource management. A reinforcement learning-based mathematical framework for U2X communications is then proposed. Finally, the extensions of the U2X communications are presented.
Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). First posted on arXiv 4 Apr 2020.
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Citing papers per year: 2021: 1; 2022: 1; 2023: 0; 2024: 1.
3 papers.
- 2024Leveraging Large Language Models for Integrated Satellite-Aerial-Terrestrial Networks: Recent Advances and Future Directionscited by 10
- 2022Deep Reinforcement Learning for Task Offloading in UAV-Aided Smart Farm Networkscited by 2
- 2021A Reinforcement Learning Environment for Multi-Service UAV-enabled Wireless Systemscited by 0
- 2024Leveraging Large Language Models for Integrated Satellite-Aerial-Terrestrial Networks: Recent Advances and Future Directions5 Jul 2024
- 2022Deep Reinforcement Learning for Task Offloading in UAV-Aided Smart Farm Networks15 Sep 2022
- 2021A Reinforcement Learning Environment for Multi-Service UAV-enabled Wireless Systems11 May 2021