面向6G的无人机通信综述

陈新颖; 盛敏; 李博; 赵楠

doi:10.11999/JEIT210789

面向6G的无人机通信综述

doi: 10.11999/JEIT210789

陈新颖¹,
盛敏²,
李博³,
赵楠^1, ,

1.
大连理工大学信息与通信工程学院大连 116024
2.
西安电子科技大学综合业务网理论及关键技术国家重点实验室西安 710071
3.
哈尔滨工业大学（威海）信息科学与工程学院威海 264209

基金项目: 国家重点研发计划 (2020YFB1807002)

详细信息

作者简介:
陈新颖：女，1992年生，博士生，研究方向为无人机通信、隐蔽通信、物理层安全

盛敏：女，1975年生，教授，博士生导师，研究方向为移动通信系统、移动自组织网、异构网络融合、空间信息网络

李博：男，1983年生，副教授，博士生导师，研究方向为无线通信、空天地网络、海洋信息传感网、飞行自组织网络

赵楠：男，1982年生，教授，博士生导师，研究方向为无人机通信、非正交多址接入、干扰管理、绿色通信

通讯作者:
赵楠　zhaonan@dlut.edu.cn

中图分类号: TN915.0
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出版历程
- 收稿日期: 2021-08-06
- 修回日期: 2021-10-22
- 网络出版日期: 2021-11-04
- 刊出日期: 2022-03-28

Survey on Unmanned Aerial Vehicle Communications for 6G

CHEN Xinying¹,
SHENG Min²,
LI Bo³,
ZHAO Nan^{1
, ,}

1.
School of Information and Communication Engineering, Dalian University of Technology, Dalian 116024, China
2.
State Key Laboratory of Integrated Service Networks, Xidian University, Xi’an 710071, China
3.
School of Information Science and Engineering, Harbin Institute of Technology at Weihai, Weihai 264209, China

Funds: The National Key R&D Program of China (2020YFB1807002)

摘要

摘要: 5G的成功商用为日常生活带来了实质性的变化，如自动驾驶、万物互联等，然而随之也产生了更大的数据量需求，进而催生了第6代移动通信。相较于5G，6G在带宽、时延、覆盖等性能方面均需要有更大的提升。因此，该文针对全域覆盖、场景智联、信息耦合的6G网络中无人机(UAVs)的应用场景进行了综述。首先，针对无人机在空天地海一体化网络架构中的应用进行了陈述，重点讨论了无人机在不同场景中可能承担的角色及功能，如蜂群基站、全息投影部署、远距离中继通信以及数据采集等。然后，对6G中应用于无人机通信的太赫兹、超大规模天线、内生人工智能、智能反射面(IRS)、智能边缘计算、区块链、通信感知一体化等潜在关键技术进行了探讨。最后，对6G场景下无人机通信面临的续航时间、网络融合性、智能反射面兼容性、太赫兹通信研发以及用户安全等方面的技术挑战进行了展望。
- 6G移动通信 /
- 无人机 /
- 空天地海一体化 /
- 太赫兹 /
- 智能反射面
Abstract: Although the application of the fifth-Generation (5G) mobile communication has brought tremendous innovations to the daily life of human beings, e.g., autonomous vehicles and internet of everything, the upcoming huger data requirement leads to the emergence of the sixth-Generation (6G) mobile communication. Compared to 5G, the transmission rate, time delay, and wireless coverage need to be improved significantly. Thus, in this paper the applications of Unmanned Aerial Vehicles (UAVs) to the ubiquitous, intelligent and coupling 6G network are surveyed. First, the utilization of UAVs in the framework of space-air-ground-sea integrated network is demonstrated, and the roles and functions of UAVs in different scenarios are emphasized, e.g., the swarm base stations, the deployment for holographic projection, the long-distance relaying and the data collection. Then, the potential 6G key techniques of terahertz, ultra-massive multiple-input and multiple-output, endogenous artificial intelligence, Intelligent Reflecting Surface (IRS), intelligent edge computing, blockchain and integrated sensing and communication for UAV communications are investigated. Finally, the future challenges of UAV communications for 6G, including the limited duration, integration of networks, compatibility of IRS, development of THz communications, and user security are discussed.
- The sixth-generation mobile communications /
- Unmanned Aerial Vehicles(UAVs) /
- Space-air-ground-sea integration /
- Terahertz /
- Intelligent Reflecting Surface(IRS)

HTML全文

图 1 空天地海一体化网络架构

下载: 全尺寸图片幻灯片

图 2 无人机在6G移动通信中的主要应用

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图 3 6G无人机通信网络中的内生智能

下载: 全尺寸图片幻灯片

图 4 智能反射面在6G无人机通信中的应用

下载: 全尺寸图片幻灯片

图 5 6G无人机通信中的智能边缘计算

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表 1 6G移动网络各种场景中无人机通信的关键技术及功能

参考文献	关键技术	无人机功能	无人机数目(个)
文献[21]	空天地海一体化通信	通信基站	1
文献[22]	动态频谱共享	采集传感器信息并发送至基站	多
文献[23]	有限长信道编码	采集传感器信息并发送至基站	多
文献[24]	超大阵列天线	与地面用户或基站通信	1
文献[25]	太赫兹	收发信息的用户	4
文献[26]	人工智能	接收信息进行自学习的用户	多
文献[27]	区块链、人工智能	运送药品的用户	1

下载: 导出CSV

参考文献(35)

[1]	尤肖虎, 潘志文, 高西奇, 等. 5G移动通信发展趋势与若干关键技术[J]. 中国科学:信息科学, 2014, 44(5): 551–563. doi: 10.1360/N112014-00032 YOU Xiaohu, PAN Zhiwen, GAO Xiqi, et al. The 5G mobile communication: The development trends and its emerging key techniques[J]. Scientia Sinica Informationis, 2014, 44(5): 551–563. doi: 10.1360/N112014-00032
[2]	LYU Feng, CHENG Nan, ZHU Hongzi, et al. Intelligent context-aware communication paradigm design for IoVs based on data analytics[J]. IEEE Network, 2018, 32(6): 74–82. doi: 10.1109/MNET.2018.1800067
[3]	GUAN Yueshi, WANG Yijie, BIAN Qing, et al. High-efficiency self-driven circuit with parallel branch for high frequency converters[J]. IEEE Transactions on Power Electronics, 2018, 33(2): 926–931. doi: 10.1109/TPEL.2017.2724545
[4]	Cisco System. Cosic visual networking index: Global mobile data traffic forecast update, 2017–2022 white paper[S]. 2019.
[5]	赛迪智库无线管理研究所. 6G概念及愿景白皮书[N]. 中国计算机报, 2020-05-11(008). doi: 10.28468/n.cnki.njsjb.2020.000054.
[6]	张平, 牛凯, 田辉, 等. 6G移动通信技术展望[J]. 通信学报, 2019, 40(1): 141–148. doi: 10.11959/j.issn.1000-436x.2019022 ZHANG Ping, NIU Kai, TIAN Hui, et al. Technology prospect of 6G mobile communications[J]. Journal on Communications, 2019, 40(1): 141–148. doi: 10.11959/j.issn.1000-436x.2019022
[7]	谢莎, 李浩然, 李玲香, 等. 面向6G网络的太赫兹通信技术研究综述[J]. 移动通信, 2020, 44(6): 36–43. doi: 10.3969/j.issn.1006-1010.2020.06.006 XIE Sha, LI Haoran, LI Lingxiang, et al. A survey of terahertz communication technologies for 6G networks[J]. Mobile Communications, 2020, 44(6): 36–43. doi: 10.3969/j.issn.1006-1010.2020.06.006
[8]	CHEN Shuaifei, ZHANG Jiayi, JIN Yu, et al. Wireless powered IoE for 6G: Massive access meets scalable cell-free massive MIMO[J]. China Communications, 2020, 17(12): 92–109. doi: 10.23919/JCC.2020.12.007
[9]	LONG Wenxuan, CHEN Rui, MARCO M, et al. A promising technology for 6G wireless networks: Intelligent refl ecting surface[J]. Journal of Communications and Information Networks, 2021, 6(1): 1–16. doi: 10.23919/JCIN.2021.9387701
[10]	LETAIEF K B, CHEN Wei, SHI Yuanming, et al. The roadmap to 6G: AI empowered wireless networks[J]. IEEE Communications Magazine, 2019, 57(8): 84–90. doi: 10.1109/MCOM.2019.1900271
[11]	ZHAO Nan, LU Weidang, SHENG Min, et al. UAV-assisted emergency networks in disasters[J]. IEEE Wireless Communications, 2019, 26(1): 45–51. doi: 10.1109/MWC.2018.1800160
[12]	CHEN Xinying, LI Dongdong, YANG Zhutian, et al. Securing aerial-ground transmission for NOMA-UAV networks[J]. IEEE Network, 2020, 34(6): 171–177. doi: 10.1109/MNET.011.2000101
[13]	WANG Jun, NA Zhenyu, and LIU Xin. Collaborative design of multi-UAV trajectory and resource scheduling for 6G-enabled internet of things[J]. IEEE Internet of Things Journal, 2021, 8(20): 15096–15106. doi: 10.1109/JIOT.2020.3031622
[14]	刘超, 陆璐, 王硕, 等. 面向空天地一体多接入的融合6G网络架构展望[J]. 移动通信, 2020, 44(6): 116–120. doi: 10.3969/j.issn.1006-1010.2020.06.017 LIU Chao, LU Lu, WANG Shuo, et al. Prospects for a multi-access air-space-terrestrial integrated 6G network architecture[J]. Mobile Communications, 2020, 44(6): 116–120. doi: 10.3969/j.issn.1006-1010.2020.06.017
[15]	KHUWAJA A A, CHEN Yunfei, ZHAO Nan, et al. A survey of channel modeling for UAV communications[J]. IEEE Communications Surveys & Tutorials, 2018, 20(4): 2804–2821. doi: 10.1109/COMST.2018.2856587
[16]	DUO Bin, WU Qingqing, YUAN Xiaojun, et al. Anti-jamming 3D trajectory design for UAV-enabled wireless sensor networks under probabilistic LoS channel[J]. IEEE Transactions on Vehicular Technology, 2020, 69(12): 16288–16293. doi: 10.1109/TVT.2020.3040334
[17]	COSTANTINO D, ANGELINI M G, and VOZZA G. The engineering and assembly of a low cost UAV[C]. Proceedings of 2015 IEEE Metrology for Aerospace (MetroAeroSpace), Benevento, Italy, 2015: 351–355. doi: 10.1109/MetroAeroSpace.2015.7180681.
[18]	DAI Cuiqin, ZHANG Mingjian, LI Chong, et al. QoE-aware intelligent satellite constellation design in satellite internet of things[J]. IEEE Internet of Things Journal, 2021, 8(6): 4855–4867. doi: 10.1109/JIOT.2020.3030263
[19]	ZHU Xiangming, JIANG Chunxiao, KUANG Linling, et al. Cooperative transmission in integrated terrestrial-satellite networks[J]. IEEE Network, 2019, 33(3): 204–210. doi: 10.1109/MNET.2018.1800164
[20]	SHAFIQUE T, TABASSUM H, and HOSSAIN E. Optimization of wireless relaying with flexible UAV-borne reflecting surfaces[J]. IEEE Transactions on Communications, 2021, 69(1): 309–325. doi: 10.1109/TCOMM.2020.3032700
[21]	NA Zhenyu, LIU Yue, SHI Jingcheng, et al. UAV-supported clustered NOMA for 6G-enabled internet of things: Trajectory planning and resource allocation[J]. IEEE Internet of Things, 2021, 8(20): 15041–15048. doi: 10.1109/JIOT.2020.3004432
[22]	ZHANG Shuhang, ZHANG Hongliang, and SONG Lingyang. Beyond D2D: Full dimension UAV-to-everything communications in 6G[J]. IEEE Transactions on Vehicular Technology, 2020, 69(6): 6592–6602. doi: 10.1109/TVT.2020.2984624
[23]	ZHANG Xi, WANG Jingqing, and POOR H V. Vincent. AoI-driven statistical delay and error-rate bounded QoS provisioning for mURLLC Over UAV-multimedia 6G mobile networks using FBC[J]. IEEE Journal on Selected Areas in Communications, 2021, 39(11): 3425–3433. doi: 10.1109/JSAC.2021.3088625
[24]	CHANG Hengtai, WANG Chengxiang, LIU Yu, et al. A novel nonstationary 6G UAV-to-ground wireless channel model with 3-D arbitrary trajectory changes[J]. IEEE Internet of Things Journal, 2020, 8(12): 9865–9877. doi: 10.1109/JIOT.2020.3018479
[25]	SAEED A, GURBUZ O, BICEN A O, et al. Variable-bandwidth model and capacity analysis for aerial communications in the terahertz band[J]. IEEE Journal on Selected Areas in Communications, 2021, 39(6): 1768–1784. doi: 10.1109/JSAC.2021.3071831
[26]	CHENG Hai, BERTIZZOLO L, D’ORO S, et al. Learning to fly: A distributed deep reinforcement learning framework for software-defined UAV network control[J]. IEEE Open Journal of the Communications Society, 2021, 2: 1486–1504. doi: 10.1109/OJCOMS.2021.3092690
[27]	GUPTA R, SHUKLA A, and TANWAR S. BATS: A blockchain and ai-empowered drone-assisted telesurgery system towards 6G[J]. IEEE Transactions on Network Science and Engineering, 2021, 8(4): 2958–2967. doi: 10.1109/TNSE.2020.3043262.
[28]	JIANG Xu, CHEN Xinying, TANG Jie, et al. Covert communication in UAV-assisted air-ground networks[J]. IEEE Wireless Communications, 2021, 28(4): 190–197. doi: 10.1109/MWC.001.2000454
[29]	CHEN Zhi, MA Xinying, ZHANG Bo, et al. A survey on terahertz communications[J]. China Communications, 2019, 16(2): 1–35. doi: 10.12676/j.cc.2019.02.001
[30]	ZHANG Senjie, JIN Shi, WEN Chaokai, et al. Improving expectation propagation with lattice reduction for massive MIMO detection[J]. China Communications, 2018, 15(12): 49–54. doi: 10.12676/j.cc.2018.12.003
[31]	AKYILDIZ I F and JORNET J M. Realizing ultra-massive MIMO (1024×1024) communication in the (0.06–10) terahertz band[J]. Nano Communication Networks, 2016, 8: 46–54. doi: 10.1016/j.nancom.2016.02.001
[32]	ZHANG Chuan, UENG Y L, STUDER C, et al. Artificial intelligence for 5G and beyond 5G: Implementations, algorithms, and optimizations[J]. IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 2020, 10(2): 149–163. doi: 10.1109/JETCAS.2020.3000103
[33]	WANG Hong, LIU Chen, SHI Zheng, et al. On power minimization for IRS-aided downlink NOMA systems[J]. IEEE Wireless Communications Letters, 2020, 9(11): 1808–1811. doi: 10.1109/LWC.2020.2999097
[34]	XIE Ziwen, LIU Junyu, SHENG Min, et al. Exploiting aerial computing for air-to-ground coverage enhancement[J]. IEEE Wireless Communications.
[35]	JIANG Xu, SHENG Min, ZHAO Nan, et al. Green UAV communications for 6G: A survey[J]. Chinese Journal of Aeronautics, 2021. doi: 10.1016/j.cja.2021.04.025.