无人机通信感知一体化：架构、技术与展望

doi:10.11959/j.issn.1000-0801.2023029

Telecommunications Science ›› 2023, Vol. 39 ›› Issue (2): 1-9.doi: 10.11959/j.issn.1000-0801.2023029

• Topic: 6G Space Internet • Next Articles

UAV-enabled integrated sensing and communication:architecture, techniques, and future vision

Chenxi LIU, Rui MA, Mugen PENG

Beijing University of Posts and Telecommunications, School of Information and Communication Engineering, Beijing 100876, China

Revised:2023-02-07 Online:2023-02-20 Published:2023-02-01
Supported by:
The National Key Research and Development Program of China(2021YFB2900200);The National Natural Science Foundation of China(62001047);The Young Elite Scientists Sponsorship Program by China Institute of Communications(YESS20200064)

Abstract

Abstract:

UAV emergency communication has been regarded as a typical application of the sixth generation mobile communication system (6G), and it can be flexible deployed and provide on-demand services.Meanwhile, integrated sensing and communication (ISAC) is a key feature and enabling technology for 6G.With the aid of the ISAC techniques, the spectral efficiency and the sensing accuracy of UAV emergency communication can be improved, while the system costs can be simultaneously reduced.However, how to efficiently integrate the ISAC techniques into the UAV emergency communication remains a hot and challenging research issue for both the academia and industry.Against these backdrops, a UAV-enabled ISAC architecture was proposed.Then, the fundamental principles that supported the proposed architecture were discussed.Finally, the future directions and challenges in UAV-enabled ISAC were provided.

Key words: integrated sensing and communication, unmanned aerial vehicle communication, intelligent service

CLC Number:

TP393

Chenxi LIU, Rui MA, Mugen PENG. UAV-enabled integrated sensing and communication:architecture, techniques, and future vision[J]. Telecommunications Science, 2023, 39(2): 1-9.

Figures/Tables 5

References 13

[1]	MOZAFFARI M , SAAD W , BENNIS M ,et al. A tutorial on UAVs for wireless networks:applications,challenges,and open problems[J]. IEEE Communications Surveys ＆ Tutorials, 2019,21(3): 2334-2360.
[2]	WU Q Q , XU J , ZENG Y ,et al. A comprehensive overview on 5G-and-beyond networks with UAVs:from communications to sensing and intelligence[J]. IEEE Journal on Selected Areas in Communications, 2021,39(10): 2912-2945.
[3]	HU S Y , YUAN X , NI W ,et al. Trajectory planning of cellular-connected UAV for communication-assisted radar sensing[J]. IEEE Transactions on Communications, 2022,70(9): 6385-6396.
[4]	MENG K T , WU Q Q , MA S D ,et al. UAV trajectory and beamforming optimization for integrated periodic sensing and communication[J]. IEEE Wireless Communications Letters, 2022,11(6): 1211-1215.
[5]	JIANG W W , SHEN C , AI B . UAV-assisted sensing and communication design for average peak age-of-information minimization[C]// Proceedings of 2022 IEEE International Conference on Communications Workshops (ICC Workshops). Piscataway:IEEE Press, 2022: 1005-1010.
[6]	LYU Z H , ZHU G X , XU J . Joint maneuver and beamforming design for UAV-enabled integrated sensing and communication[J]. IEEE Transactions on Wireless Communications, 2022(99): 1.
[7]	彭木根, 刘喜庆, 刘子乐 ,等. 6G 通信感知一体化理论与技术[J]. 控制与决策, 2023,38(1): 22-38.
	PENG M G , LIU X Q , LIU Z L ,et al. Principles and techniques in communication and sensing integrated 6G systems[J]. Control and Decision, 2023,38(1): 22-38.
[8]	姜大洁, 姚健, 李健之 ,等. 通信感知一体化关键技术与挑战[J]. 移动通信, 2022,46(5): 69-77.
	JIANG D J , YAO J , LI J Z ,et al. Key technologies and challenges for integrated sensing and communication[J]. Mobile Communications, 2022,46(5): 69-77.
[9]	江甲沫, 韩凯峰, 徐晓燕 . 6G通信感知一体化系统的性能指标[J]. 中兴通讯技术, 2022,28(5): 39-45.
	JIANG J M , HAN K F , XU X Y . Performance metric for 6G integrated sensing and communication system[J]. ZTE Technology Journal, 2022,28(5): 39-45.
[10]	李国琳, 郭文彬 . 雷达通信一体化波形设计综述[J]. 移动通信, 2022,46(5): 38-44.
	LI G L , GUO W B . Waveform design for integrated radar and communication:a survey[J]. Mobile Communications, 2022,46(5): 38-44.
[11]	MU J S , ZHANG R H , CUI Y H ,et al. UAV meets integrated sensing and communication:challenges and future directions[J]. IEEE Communications Magazine, 2023(99): 1-7.
[12]	LIU C X , HU X L , PENG M G ,et al. Sensing for beamforming:an IRS-enabled integrated sensing and communication framework[C]// Proceedings of ICC 2022 - IEEE International Conference on Communications. Piscataway:IEEE Press, 2022: 5567-5572.
[13]	刘晨熙, 刘炳宏, 张贤 ,等. 面向智能服务的雾无线电接入网络：原理、技术与挑战[J]. 智能科学与技术学报, 2021,3(1): 10-17.
	LIU C X , LIU B H , ZHANG X ,et al. Intelligent service oriented fog radio access network:principles,technologies and challenges[J]. Chinese Journal of Intelligent Science and Technology, 2021,3(1): 10-17.

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