Cooperative conflict detection and resolution and safety assessment for 6G enabled unmanned aerial vehicles
Article
Li, S., Cheng, X., Huang, X., Otaibi, S. and Wang, H. 2023. Cooperative conflict detection and resolution and safety assessment for 6G enabled unmanned aerial vehicles. IEEE Transactions on Intelligent Transportation Systems. 24 (2), pp. 2183-2198. https://doi.org/10.1109/TITS.2021.3137458
| Type | Article |
|---|---|
| Title | Cooperative conflict detection and resolution and safety assessment for 6G enabled unmanned aerial vehicles |
| Authors | Li, S., Cheng, X., Huang, X., Otaibi, S. and Wang, H. |
| Abstract | The increasing number of Unmanned Aerial Vehicles (UAVs) in the low-altitude airspace and the increasing complexity of the work environment present new challenges for ensuring airspace security, especially the effective conflict detection and resolution (CD&R) of UAVs. In the era of the sixth generation (6G) technology, there is an improvement in communication speed and capacity in comparison with the traditional communication technologies, which contributes to forming a UAV Internet of Things (IoTs) through remote intelligent control platform and improve the effect of CD&R. In this paper, we innovatively develop a cooperative CD&R method in the UAV IoT environment considering UAV relative motion relationships and UAV priorities. Using this method in 6G environment, the real-time and reactive conflict-free paths for UAVs can be generated. The developed method has the advantage of smaller calculation and needs fewer UAVs to take maneuvers than the CD&R methods based on traditional Artificial Potential Field (APF). To verify the effectiveness of CD&R methods, a safety assessment method (evaluate from both conflict feature and network structure perspectives) is also proposed. A Monte Carlo Simulation with ``clone mechanism'' is designed to incorporate the effect of CD&R systems. Three cases of distributed CD&R protocols are simulated and compared. The simulations with different parameter settings are also discussed. Quantitative simulation experiments show that the safety effect of CD&R proposed in this paper is improved a lot due to the improved APF and the UAV priority determination. Meanwhile, the safety assessment method is demonstrated to be feasible for evaluating the safety of CD&R systems. |
| Keywords | Autonomous aerial vehicles; Safety; Force; 6G mobile communication; Heuristic algorithms; Collision avoidance; Atmospheric modeling; Unmanned aerial vehicle; 6G; conflict detection and resolution; safety assessment; simulation |
| Publisher | IEEE |
| Journal | IEEE Transactions on Intelligent Transportation Systems |
| ISSN | 1524-9050 |
| Electronic | 1558-0016 |
| Publication dates | |
| Online | 04 Jan 2022 |
| 08 Feb 2023 | |
| Publication process dates | |
| Deposited | 23 May 2022 |
| Submitted | 22 Sep 2021 |
| Accepted | 14 Dec 2021 |
| Output status | Published |
| Digital Object Identifier (DOI) | https://doi.org/10.1109/TITS.2021.3137458 |
| Web of Science identifier | WOS:000795618200001 |
| Language | English |
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