6G Enabled Unmanned Aerial Vehicle Traffic Management: A Perspective

被引:75
作者
Shrestha, Rakesh [1 ]
Bajracharya, Rojeena [2 ]
Kim, Shiho [1 ]
机构
[1] Yonsei Univ, Yonsei Inst Convergence Technol YICT, PAV & CAV Convergence Res & Dev Ctr, Incheon 21983, South Korea
[2] Incheon Natl Univ, Dept Informat & Telecommun Engn, Incheon 22012, South Korea
关键词
Unmanned aerial vehicles; 6G mobile communication; Aircraft; Surveillance; Safety; Ecosystems; Aircraft navigation; Unmanned aerial vehicle; personalized aerial vehicle; UTM system; 6G; traffic management; CHALLENGES; COMMUNICATION; BLOCKCHAIN; SYSTEMS;
D O I
10.1109/ACCESS.2021.3092039
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Unmanned aerial vehicles (UAVs) and UAV traffic management (UTM) have drawn attention for applications such as parcel delivery, aerial mapping, agriculture, and surveillance based on line-of-sight (LoS) links. UTM is essential to operate multiple fully autonomous UAVs safely beyond the visual line of sight (BVLoS) in the future dense UAV traffic environment. Various research and development teams globally take UTM initiatives and work on platform testing with different industrial partners. In the future, urban airspace will be congested with various types of autonomous aerial vehicles, thereby resulting in complex air-traffic management caused by communication issues. The UTM requires an efficient communication backbone to handle all airborne communication services. Existing cellular networks are suitable only for terrestrial communication and have limitations in supporting aerial communications. These issues motivate the investigation of an appropriate communication technology for advanced UTM systems. Thus, in this study, we present a future perspective of 6G-enabled UTM ecosystems in a very dense and urban air-traffic scenario focusing on non-terrestrial features, including aerial and satellite communication. We also introduce several urban airspace segmentation and discuss a strategic management framework for dynamic airspace traffic management and conflict-free UAV operations. The UTM enhances the adaptive use of the airspace by shaping the airspace with the overall aim of maximizing the capability and efficiency of the network. We also discuss the 6G multi-layer parameters i.e., space, air, and terrestrial, for safe and efficient urban air transportation in three-dimensional space. Moreover, we discuss the issues and challenges faced by future UTM systems and provide tentative solutions. We subsequently extend the vision of the UTM system and design an advanced and fully autonomous 6G-based UTM system.
引用
收藏
页码:91119 / 91136
页数:18
相关论文
共 50 条
  • [31] Traffic collisions early warning aided by small unmanned aerial vehicle companion
    Luo, Hao
    Chu, Shu-Chuan
    Wu, Xiaofeng
    Wang, Zhenfei
    Xu, Fangqian
    TELECOMMUNICATION SYSTEMS, 2020, 75 (02) : 169 - 180
  • [32] Analyzing unmanned aerial vehicle (drone) attacks; a disaster medicine perspective
    Shapovalov, Vadym
    Tran, Quincy K.
    Groussis, Maria
    Jasani, Gregory
    Tilley, Laura
    Pourmand, Ali
    AMERICAN JOURNAL OF EMERGENCY MEDICINE, 2024, 84 : 135 - 140
  • [33] A Jellyfish Distribution Management System using an Unmanned Aerial Vehicle and Unmanned Surface Vehicles
    Koo, Jungmo
    Jung, Sungwook
    Myung, Hyun
    2017 IEEE UNDERWATER TECHNOLOGY (UT), 2017,
  • [34] Unmanned Aerial Vehicles Traffic Management Solution Using Crowd-Sensing and Blockchain
    Alkadi, Ruba
    Shoufan, Abdulhadi
    IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT, 2023, 20 (01): : 201 - 215
  • [35] Network management schemes for IoT environment towards 6G: A comprehensive review
    Bodkhe, Umesh
    Tanwar, Sudeep
    MICROPROCESSORS AND MICROSYSTEMS, 2023, 103
  • [36] Design of Charging Coil for Unmanned Aerial Vehicle-Enabled Wireless Power Transfer
    Song, Yiqi
    Sun, Xinya
    Wang, Haixia
    Dong, Wei
    Ji, Yindong
    2018 8TH INTERNATIONAL CONFERENCE ON POWER AND ENERGY SYSTEMS (ICPES), 2018, : 268 - 272
  • [37] Automatic Traffic Safety Analysis using Unmanned Aerial Vehicle Technology at Unsignalized Intersections in Heterogeneous Traffic
    Sarkar, Debashis Ray
    Rao, K. Ramachandra
    Chatterjee, Niladri
    TRANSPORTATION RESEARCH RECORD, 2024,
  • [38] Nexus of 6G and Blockchain for Authentication of Aerial and IoT Devices
    Raja, Gunasekaran
    Ganesh, Sai S.
    Rajakumar, Balaji Rajaguru
    Gurumoorthy, Sugeerthi
    Dev, Kapal
    Magarini, Maurizio
    IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC 2022), 2022,
  • [39] Power and energy management system for fuel cell unmanned aerial vehicle
    Karunarathne, L.
    Economou, J. T.
    Knowles, K.
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART G-JOURNAL OF AEROSPACE ENGINEERING, 2012, 226 (G4) : 437 - 454
  • [40] Energy Management for Fuel Cell/Battery Hybrid Unmanned Aerial Vehicle
    Cheng, Zhibo
    Liu, Huiying
    Yu, Peiran
    Zhu, Lin
    Sun, Tianhao
    Yao, Yongming
    INTERNATIONAL JOURNAL OF ELECTROCHEMICAL SCIENCE, 2021, 16 (09): : 1 - 17