1.北京科技大学智能与通信融合北京市重点实验室,北京 100083
2.北京科技大学河北省空天地智能通信重点实验室,北京,100083
3.国家无线电监测中心 北京 100037
4.多域数据协同处理与控制全国重点实验室,陕西 西安 710126
张海君,zhanghaijun@ustb.edu.cn
收稿:2026-03-28,
修回:2026-05-12,
录用:2026-05-12,
移动端阅览
刘向南, 刘玉佩, 张海君, 等. 低空通感一体化网络资源管理关键技术研究[J/OL]. 通信学报, 2026.
LIU Xiangnan, LIU Yupei, ZHANG Haijun, et al. Key technologies for low-altitude ISAC networks resource management[J/OL]. Journal on Communications, 2026.
刘向南, 刘玉佩, 张海君, 等. 低空通感一体化网络资源管理关键技术研究[J/OL]. 通信学报, 2026. DOI: 10.11959/j.issn.1000-436x.TXXB260159.
LIU Xiangnan, LIU Yupei, ZHANG Haijun, et al. Key technologies for low-altitude ISAC networks resource management[J/OL]. Journal on Communications, 2026. DOI: 10.11959/j.issn.1000-436x.TXXB260159.
本文围绕低空通感一体化网络资源管理技术开展系统性综述,旨在梳理低空空域通感协同机理的研究进展与关键问题。首先,从低空经济发展需求出发,总结了低空通感一体化的典型应用场景与发展背景,并回顾近年来相关网络资源管理技术的研究进展。其次,围绕频段选择与频谱资源管理,对公网与专网场景下Sub-6 GHz及毫米波、太赫兹频段的管理策略进行分类归纳与探讨。随后,从空域资源管理角度出发,综述通感波束赋形与航迹优化等关键技术的发展现状及其特点。接着对于低空通感一体网络以算存为代表的新型资源予以交代。最后,归纳当前研究中存在的主要挑战,并对未来发展趋势进行展望,包括低空通感一体化网络的未来发展趋势,包括跨系统与跨场景协同,低空信道知识地图以及新型动态天线技术等,以有效提升多维资源利用率和网络适应能力,满足未来高效、智能、安全的通感一体化网络需求。
This paper presents a systematic review of resource management technologies for low-altitude integrated sensing and communication (ISAC) networks
aiming to summarize the research progress and key issues of sensing-communication coordination mechanisms in low-altitude airspace. First
the societal demands
application scenarios
and the evolution of resource management in low-altitude ISAC networks were summarized. Then
frequency band selection and spectrum resource management were classified and summarized
with particular emphasis on sub-6 GHz and millimeter-wave/terahertz bands in both public and private network scenarios. Subsequently
space resource management was discussed
mainly from the perspectives of coordinated beamforming and trajectory optimization. Next
computation and caching
as emerging resource dimensions in low-altitude ISAC networks
Finally
this paper summarized the main challenges in current research and prospects future development trends
including cross-system and cross-scenario collaboration
low-altitude channel knowledge maps
and new dynamic antenna technologies
to further improve multidimensional resource utilization and network adaptability for efficient
intelligent
and secure ISAC networks.
通用航空装备创新应用实施方案(2024-2030年) [R ] . 北京 : 工业和信息化部, 科学技术部, 财政部, 中国民用航空局 , 2024 . https://www.gov.cn/zhengce/zhengceku/202403/P020240328724691408759.pdf.
General aviation equipment innovation application implementation plan (2024-2030) [R ] . Beijing : Ministry of Industry and Information Technology, Ministry of Science and Technology, Ministry of Finance, Civil Aviation Administration of China , 2024 . https://www.gov.cn/zhengce/zhengceku/202403/P020240328724691408759.pdf.
Zeng Y , Zhang R . Energy-efficient UAV communication with trajectory optimization [J ] . IEEE Transactions on wireless communications , 2017 , 16 ( 6 ): 3747 - 3760 .
Zaid A A , Belmekki B E Y , Alouini M S . eVTOL communications and networking in UAM: Requirements, key enablers, and challenges [J ] . IEEE Communications Magazine , 2023 , 61 ( 8 ): 154 - 160 . DOI: 10.1109/MCOM.004.2300061 http://dx.doi.org/10.1109/MCOM.004.2300061 .
Song Y , Zeng Y , Yang Y , et al . An overview of cellular ISAC for low-altitude UAV: New opportunities and challenges [J ] . IEEE Communications Magazine , 2025 , 63 ( 12 ): 88 - 95 . DOI: 10.1109/MCOM.002.2400742 http://dx.doi.org/10.1109/MCOM.002.2400742 .
Federal Aviation Administration . Remote Identification of Drones [OL ] . ( 2025 ) https://www.faa.gov/uas/getting_started/remote_id https://www.faa.gov/uas/getting_started/remote_id .
European Commission . Commission Implementing Regulation (EU) 2021/664 of 22 April 2021 on a regulatory framework for the U‑space [OL ] . ( 2021 ) https://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:32021R0664 https://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:32021R0664 .
Republic of Korea Ministry of Land , Infrastructure and Transport . Korea announces expansion of K‑Drone Delivery operations [OL ] . ( 2025 ). https://www.mk.co.kr/en/society/11356989 https://www.mk.co.kr/en/society/11356989 .
中华人民共和国国务院 , 中华人民共和国中央军事委员会 . 无人驾驶航空器飞行管理暂行条例 [OL ] . ( 2024 ). https://www.gov.cn/zhengce/zhengceku/202306/content_6888800.htm https://www.gov.cn/zhengce/zhengceku/202306/content_6888800.htm .
The State Council of the People's Republic of China , Central Military Commission of the People's Republic of China . Interim Regulations on the Administration of Unmanned Aircraft Flight [OL ] . ( 2024 ). https://www.gov.cn/zhengce/zhengceku/202306/content_6888800.htm https://www.gov.cn/zhengce/zhengceku/202306/content_6888800.htm .
工业和信息化部 , 中央网络安全和信息化委员会办公室 , 国家发展和改革委员会 , 等 . 5G 规模化应用“扬帆”行动升级方案 [OL ] . ( 2024 ). https://www.gov.cn/zhengce/zhengceku/202411/content_6989412.htm https://www.gov.cn/zhengce/zhengceku/202411/content_6989412.htm .
Ministry of Industry and Information Technology of the People's Republic of China , Cyberspace Administration of China , National Development and Reform Commission of the People's Republic of China , et al . Upgrade Plan for the "Sailing" Initiative of Large-scale 5G Applications [OL ] . ( 2024 ). https://www.gov.cn/zhengce/zhengceku/202411/content_6989412.htm https://www.gov.cn/zhengce/zhengceku/202411/content_6989412.htm .
Leyva-Mayorga I , Saggese F , Li L , et al . Integrating atmospheric sensing and communications for resource allocation in NTNs [J ] . IEEE Transactions on Wireless Communications , 2025 . 24 ( 11 ): 9703 - 9718 . DOI: 10.1109/TWC.2025.3574760 http://dx.doi.org/10.1109/TWC.2025.3574760 .
Gupta L , Jain R , Vaszkun G . Survey of important issues in UAV communication networks [J ] . IEEE Communications Surveys & Tutorials , 2016 , 18 ( 2 ): 1123 - 1152 . DOI: 10.1109/COMST.2015.2495297 http://dx.doi.org/10.1109/COMST.2015.2495297 .
Ji L , Chen J , Feng Z . Spectrum allocation and performance analysis for backhauling of UAV assisted cellular network [J ] . China Communications , 2019 , 16 ( 8 ): 83 - 92 . DOI: 10.23919/JCC.2019.08.008 http://dx.doi.org/10.23919/JCC.2019.08.008 .
Zhang J , Zhou L , Zhou F , et al . Computation-efficient offloading and trajectory scheduling for Multi-UAV assisted mobile edge computing [J ] . IEEE Transactions on Vehicular Technology , 2020 , 69 ( 2 ): 2114 - 2125 . DOI: 10.1109/TVT.2019.2960103 http://dx.doi.org/10.1109/TVT.2019.2960103 .
Wu Q , Zeng Y , Zhang R . Joint trajectory and communication design for multi-UAV enabled wireless networks [J ] . IEEE Transactions on Wireless Communications , 2018 , 17 ( 3 ): 2109 - 2121 .
An J , Li H , Ng D W K , et al . Fundamental detection probability vs. achievable rate tradeoff in integrated sensing and communication systems [J ] . IEEE Transactions on Wireless Communications , 2023 , 22 ( 12 ): 9835 - 9853 .
Zhang J , Yan S , Peng M , et al . Coordinated multi-point enabled ISAC under asynchronous errors: performance analysis and waveform-beamforming optimization [J ] . IEEE Transactions on Vehicular Technology , 2025 , 74 ( 8 ): 12189 - 12205 . DOI: 10.1109/TVT.2025.3550650 http://dx.doi.org/10.1109/TVT.2025.3550650 .
Liu F , Liu Y F , Li A , et al . Cramér-Rao bound optimization for joint radar-communication beamforming [J ] . IEEE Transactions on Signal Processing , 2022 , 70 : 240 - 253 . DOI: 10.1109/TSP.2021.3135692 http://dx.doi.org/10.1109/TSP.2021.3135692 .
DONG F , LIU F , CUI Y , et al . Sensing as a service in 6G perceptive networks: A unified framework for ISAC resource allocation [J ] . IEEE Transactions on Wireless Communications , 2022 , 22 ( 5 ): 3522 - 3536 .
尹浩 , 黄宇红 , 韩林丛 , 等 . 6G通信–感知–计算融合网络的思考 [J ] . 中国科学:信息科学 , 2023 , 53 ( 9 ): 1838 - 1842 .
Yin H , Huang Y , Han L , et al . thoughts on 6G communication-sensing-computing integrated network [J ] . Science China: In-formation Sciences , 2023 , 53 ( 9 ): 1838 - 1842 . DOI: 10.1360/SSI-2023-0135 http://dx.doi.org/10.1360/SSI-2023-0135 .
Liu Q , Liang H , Luo R , et al . Energy-efficiency computation offloading strategy in UAV aided V2X network with integrated sensing and communication [J ] . IEEE Open Journal of the Communications Society , 2022 , 3 : 1337 - 1346 . DOI: 10.1109/OJCOMS.2022.3195703 http://dx.doi.org/10.1109/OJCOMS.2022.3195703 .
Gong T , Zhu L , Yu F R , et al . Edge Intelligence in Intelligent Transportation Systems: A Survey [J ] . IEEE Transactions on Intelligent Transportation Systems , 2023 , 24 ( 9 ): 8919 - 8944 . DOI: 10.1109/TITS.2023.3275741 http://dx.doi.org/10.1109/TITS.2023.3275741 .
Yang J , Jin S , Wen C K , et al . Fast beam training architecture for hybrid mmWave transceivers [J ] . IEEE Transactions on Vehicular Technology , 2020 , 69 ( 3 ): 2700 - 2715 . DOI: 10.1109/TVT.2020.2963847 http://dx.doi.org/10.1109/TVT.2020.2963847 .
Zhang R , Wu W , Chen X , et al . Terahertz integrated sensing and communication-empowered UAVs in 6G: A transceiver design perspective [J ] . IEEE Vehicular Technology Magazine , 2025 : 2 - 11 . DOI: 10.1109/MVT.2025.3531088 http://dx.doi.org/10.1109/MVT.2025.3531088 .
毕奇 , 向际鹰 , 冯盾 , 等 . 基于5G、6G和通感一体的低空覆盖之机遇及挑战 [J ] . 移动通信 , 2025 , 49 ( 10 ): 156 - 162 . DOI: 10.3969/j.issn.1006-1010.20250725-0002 http://dx.doi.org/10.3969/j.issn.1006-1010.20250725-0002 .
Bi Q , Xiang J , Feng D , et al . Opportunities and challenges on low altitude airspace coverage using 5G, 6G and integrated sensing and communication [J ] . Mobile Communications , 2025 , 49 ( 10 ): 156 - 162 . DOI: 10.3969/j.issn.1006-1010.20250725-0002 http://dx.doi.org/10.3969/j.issn.1006-1010.20250725-0002 .
魏明烁 , 谢伟良 . 低空3.5 GHz双载波网络覆盖解决方案研究 [J ] . 电信科学 , 2025 , 41 ( 03 ): 87 - 95 .
DOI: 10.11959/j.issn.1000 −0801.2025098 .
Wei M, Xie W Research on the coverage solution of low-altitude 3.5 GHz dual-carrier network [J ] . Telecommunication Science , 2025 , 41 ( 03 ): 87 - 95 . DOI: 10.11959/j.issn.1000 http://dx.doi.org/10.11959/j.issn.1000 − 0801 .2025098
中兴通讯广东移动 . 中兴通讯与广东移动共建高质量低空智联网 [OL ] . ( 2024 ). https://finance.sina.com.cn/roll/2024-12-31/doc-ineckerv1908028.shtml https://finance.sina.com.cn/roll/2024-12-31/doc-ineckerv1908028.shtml
ZTE Corporation & Guangdong Mobile . ZTE and Guangdong Mobile build a high-quality low-altitude intelligent network [OL ] . ( 2024 ). https://finance.sina.com.cn/roll/2024-12-31/doc-ineckerv1908028.shtml https://finance.sina.com.cn/roll/2024-12-31/doc-ineckerv1908028.shtml .
Wang C X , Wang J , Hu S , et al . Key technologies in 6G terahertz wireless communication systems: A survey [J ] . IEEE Vehicular Technology Magazine , 2021 , 16 ( 4 ): 27 - 37 .
Ma Z , Ai B , He R , et al . a non-stationary geometry-based MIMO channel model for millimeter-wave UAV networks [J ] . IEEE Journal on Selected Areas in Communications , 2021 , 39 ( 10 ): 2960 - 2974 . DOI: 10.1109/JSAC.2021.3088659 http://dx.doi.org/10.1109/JSAC.2021.3088659 .
陈智 , 刘轲 , 李玲香 , 等 . 太赫兹通信感知一体化技术综述 [J ] . 中国科学: 信息科学 , 2024 , 54 ( 5 ): 1215 - 1235 . DOI: 10.1360/SSI-2023-0354 http://dx.doi.org/10.1360/SSI-2023-0354 .
Chen Z , Liu K , Li L , et al . A survey on terahertz communication-sensing integration technology [J ] . Science China: Information Sciences , 2024 , 54 ( 5 ): 1215 - 1235 . DOI: 10.1360/SSI-2023-0354 http://dx.doi.org/10.1360/SSI-2023-0354 .
工业和信息化部 . 工业和信息化部关于微波通信系统频率使用规划调整及无线电管理有关事项的通知 [OL ] . ( 2022 ). https://www.gov.cn/zhengce/zhengceku/2023-01/09/content_5735782.htm https://www.gov.cn/zhengce/zhengceku/2023-01/09/content_5735782.htm .
Ministry of Industry and Information Technology . notice on adjusting the frequency use plan for microwave communication systems and related radio management issues [OL ] . ( 2022 ). https://www.gov.cn/zhengce/zhengceku/2023-01/09/content_5735782.htm https://www.gov.cn/zhengce/zhengceku/2023-01/09/content_5735782.htm .
Jiang Y , Li X , Zhu G , et al . Integrated sensing and communication for low altitude economy: opportunities and challenges [J ] . IEEE Communications Magazine , 2025 , 63 ( 12 ): 72 - 78 . DOI: 10.1109/MCOM.001.2400685 http://dx.doi.org/10.1109/MCOM.001.2400685 .
Li Z , Gao Z , Wang K , et al . Unauthorized UAV countermeasure for low-altitude economy: joint communications and jamming based on MIMO cellular systems [J ] . IEEE Internet of Things Journal , 2025 , 12 ( 6 ): 6659 - 6672 . DOI: 10.1109/JIOT.2024.3491796 http://dx.doi.org/10.1109/JIOT.2024.3491796 .
胡杨林 , 张天魁 , 李博 , 等 . 无人机使能的通信感知一体化组网与技术研究综述 [J ] . 电子与信息学报 , 2025 , 47 ( 04 ): 859 - 875 . DOI: 10.11999/JEIT241116 http://dx.doi.org/10.11999/JEIT241116 .
Hu Y , Zhang T , Li B , et al . A survey on UAV-enabled communicaion-sensing integration networking and technology [J ] . Journal of Electronics and Information Technology , 2025 , 47 ( 04 ): 859 - 875 . DOI: 10.11999/JEIT241116 http://dx.doi.org/10.11999/JEIT241116 .
Cui C , Jia Z , You J , et al . Robust and secure computation offloading and trajectory optimization for multi-UAV MEC against aerial eavesdropper [J ] . IEEE Transactions on Vehicular Technology , 2026 , 75 ( 3 ): 4987 - 5000 . DOI: 10.1109/TVT.2025.3612755 http://dx.doi.org/10.1109/TVT.2025.3612755 .
Meng K , Han K , Masouros C , et al . Network-Level ISAC: An Analytical Study of Antenna Topologies Ranging From Massive to Cell-Free MIMO [J ] . IEEE Transactions on Wireless Communications , 2025 , 24 ( 12 ): 10003 - 10018 . DOI: 10.1109/TWC.2025.3576432 http://dx.doi.org/10.1109/TWC.2025.3576432 .
Zhang H , Guo Y , Xue L , et al . Millimeter-wave Energy-efficient Hybrid beamforming architecture and algorithm [OL ] . arXiv , 2025 [ 2026-01-15 ] . http://arxiv.org/abs/2501.01684 http://arxiv.org/abs/2501.01684 . DOI: 10.48550/arXiv.2501.01684 http://dx.doi.org/10.48550/arXiv.2501.01684 .
Jing X , Liu F , Masouros C , et al . ISAC from the Sky: UAV trajectory design for joint communication and target localization [J ] . IEEE Transactions on Wireless Communications , 2024 , 23 ( 10 ): 12857 - 12872 . DOI: 10.1109/TWC.2024.3396571 http://dx.doi.org/10.1109/TWC.2024.3396571 .
Yuan B , Zhang Q , Jiang Z , et al . Synergistic multi-frequency ISAC for joint aerial and maritime target tracking: A 3.5 GHz and 26 GHz outdoor experiment [J ] . IEEE Internet of Things Journal , 2025 : 1 - 1 . DOI: 10.1109/JIOT.2025.3622585 http://dx.doi.org/10.1109/JIOT.2025.3622585 .
Kanani P , Omidi M J , Modarres-Hashemi M , et al . HAPS-ISAC: enhancing sensing and communication in 6G networks with advanced MIMO beamforming [J ] . IEEE Open Journal of the Communications Society , 2025 , 6 : 5988 - 6004 . DOI: 10.1109/OJCOMS.2025.3587077 http://dx.doi.org/10.1109/OJCOMS.2025.3587077 .
Zhong J , Wu J , Li Y , et al . Joint beamforming design and trajectory optimization for UAV-enabled cell-free ISAC MIMO systems [J ] . IEEE Communications Letters , 2025 , 29 ( 8 ): 1849 - 1853 . DOI: 10.1109/LCOMM.2025.3577697 http://dx.doi.org/10.1109/LCOMM.2025.3577697 .
Hu Y , Zhuo X , Meng Z , et al . Collaborative Positioning Optimization for Multiple Moving Users in UAV-Enabled ISAC [J ] . IEEE Transactions on Cognitive Communications and Networking , 2025 , 11 ( 5 ): 3016 - 3030 . DOI: 10.1109/TCCN.2025.3591980 http://dx.doi.org/10.1109/TCCN.2025.3591980 .
Kirik M , Afeef L , Arslan H . An ISAC-assisted beam alignment design for HAP-based 6G flying Ad-Hoc networks [J ] . IEEE Open Journal of the Communications Society , 2025 , 6 : 5923 - 5939 . DOI: 10.1109/OJCOMS.2025.3586964 http://dx.doi.org/10.1109/OJCOMS.2025.3586964 .
Liu J , Zhou C , Sheng M , et al . resource allocation for adaptive beam alignment in UAV-assisted integrated sensing and communication networks [J ] . IEEE Journal on Selected Areas in Communications , 2025 , 43 ( 1 ): 350 - 363 . DOI: 10.1109/JSAC.2024.3492699 http://dx.doi.org/10.1109/JSAC.2024.3492699 .
Cheng G , Song X , Lyu Z , et al . networked ISAC for low-altitude economy: coordinated transmit beamforming and UAV trajectory design [J ] . IEEE Transactions on Communications , 2025 , 73 ( 8 ): 5832 - 5847 . DOI: 10.1109/TCOMM.2025.3541027 http://dx.doi.org/10.1109/TCOMM.2025.3541027 .
Kong X , Zhou Y , Li Z , et al . Multi-UAV simultaneous target assignment and path planning based on deep reinforcement learning in dynamic multiple obstacles environments [J ] . Frontiers in Neurorobotics , 2024 , 17 : 1302898 . DOI: 10.3389/fnbot.2023.1302898 http://dx.doi.org/10.3389/fnbot.2023.1302898 .
Zhao C , Feng Y , Luo H , et al . Networked ISAC-based UAV tracking and handover toward low-altitude economy [J ] . IEEE Transactions on Wireless Communications , 2025 , 24 ( 9 ): 7670 - 7685 . DOI: 10.1109/TWC.2025.3562396 http://dx.doi.org/10.1109/TWC.2025.3562396 .
Ding W , Ren Z , Fang Y , et al . Multi-UAV-enabled integrated sensing and communications: Joint beamforming and UAV placement design [C ] // 2024 16th International Conference on Wireless Communications and Signal Processing (WCSP) . IEEE , 2024 : 770 - 775 .
Liu X , Wu J , Zhao C , et al . Integrated sensing and communications for UAV assisted internet of things based on deep reinforcement learning [J ] . IEEE Transactions on Vehicular Technology , 2025 , 74 ( 6 ): 9604 - 9616 . DOI: 10.1109/TVT.2025.3539693 http://dx.doi.org/10.1109/TVT.2025.3539693 .
Al-Habob A A , Dobre O A , Jing Y . Predictive beamforming approach for secure integrated sensing and communication with multiple aerial eavesdroppers [J ] . IEEE Transactions on Communications , 2025 , 73 ( 9 ): 7887 - 7898 . DOI: 10.1109/TCOMM.2025.3545678 http://dx.doi.org/10.1109/TCOMM.2025.3545678 .
Xu J , Zhou X , Zhang H , et al . Deep learning-based predictive bidirectional beamforming in ISAC-enabled UAV networks [J ] . IEEE Transactions on Wireless Communications , 2026 , 25 : 12230 - 12245 . DOI: 10.1109/TWC.2026.3664980 http://dx.doi.org/10.1109/TWC.2026.3664980 .
Li Z , Zhang C , Shen L , et al . Knowledge-guided reinforcement learning for beamforming and trajectory design in multi-UAV aerial ISAC system [J ] . IEEE Sensors Journal , 2026 : 1 - 1 . DOI: 10.1109/JSEN.2026.3683952 http://dx.doi.org/10.1109/JSEN.2026.3683952 .
Ghambari S , Golabi M , Jourdan L , et al . UAV path planning techniques: a survey [J ] . RAIRO - Operations Research , 2024 , 58 ( 4 ): 2951 - 2989 . DOI: 10.1051/ro/2024073 http://dx.doi.org/10.1051/ro/2024073 .
Luo Z , Zhang Y , Mu L , et al . A UAV path planning algorithm based on an improved D* lite algorithm for forest firefighting [C ] // 2020 Chinese Automation Congress (CAC) . IEEE , 2020 : 4233 - 4237 .
Ye Z , Wang K , Chen Y , et al . Multi-UAV navigation for partially observable communication coverage by graph reinforcement learning [J ] . IEEE transactions on mobile computing , 2022 , 22 ( 7 ): 4056 - 4069 . DOI: 10.1109/TMC.2022.3146881 http://dx.doi.org/10.1109/TMC.2022.3146881 .
Orthey A , Chamzas C , Kavraki L E . Sampling-based motion planning: A comparative review [J ] . Annual Review of Control, Robotics, and Autonomous Systems , 2023 , 7 .
Verginis C K , Dimarogonas D V , Kavraki L E . Kdf: Kinodynamic motion planning via geometric sampling-based algorithms and funnel control [J ] . IEEE Transactions on robotics , 2022 , 39 ( 2 ): 978 - 997 .
赵棣宇 , 郑宾 , 殷云华 , 等 . 改进粒子群算法的UAV突防路径规划 [J ] . 电光与控制 , 2023 , 30 ( 04 ): 12 - 16+39 . DOI: 10.3969/j.issn.1671-637X.2023.04.003 http://dx.doi.org/10.3969/j.issn.1671-637X.2023.04.003 .
Zhao D , Zheng B , Yin Y , et al . UAV penetration path planning based on improved particle swarm optimization algorithm [J ] . Opto-Electronic Engineering , 2023 , 30 ( 04 ): 12 - 16+39 . DOI: 10.3969/j.issn.1671-637X.2023.04.003 http://dx.doi.org/10.3969/j.issn.1671-637X.2023.04.003 .
Gao Q , Zhong R , Shin H , et al . MARL-based UAV trajectory and beamforming optimization for ISAC system [J ] . IEEE Internet of Things Journal , 2024 , 11 ( 24 ): 40492 - 40505 . DOI: 10.1109/JIOT.2024.3453195 http://dx.doi.org/10.1109/JIOT.2024.3453195 .
Pan Y , Li R , Da X , et al . Cooperative trajectory planning and resource allocation for UAV-Enabled integrated sensing and communication systems [J ] . IEEE Transactions on Vehicular Technology , 2024 , 73 ( 5 ): 6502 - 6516 . DOI: 10.1109/TVT.2023.3337106 http://dx.doi.org/10.1109/TVT.2023.3337106 .
Hou P , Zhu H , Lu Z , et al . Learning-based over-the-air integrated sensing, communication and computation in UAV swarm-enabled intelligent transportation systems [J ] . IEEE Transactions on Green Communications and Networking , 2025 , 9 ( 3 ): 1414 - 1428 . DOI: 10.1109/TGCN.2024.3492028 http://dx.doi.org/10.1109/TGCN.2024.3492028 .
张海君 , 夏清悦 , 马旭 , 等 . 6G低空通信场景下无人机部署优化综述 [J ] . 航空学报 , 2025 , 46 ( 11 ): 148 - 173 .
Hu Y , Zhuo X , Meng Z , et al . Collaborative positioning optimization for multiple moving users in UAV-enabled ISAC [J ] . IEEE Transactions on Cognitive Communications and Networking , 2025 , 11 ( 5 ): 3016 - 3030 . DOI: 10.1109/TCCN.2025.3591980 http://dx.doi.org/10.1109/TCCN.2025.3591980 .
Saikia P , Jee A , Singh K , et al . Hybrid-RIS empowered UAV-Assisted ISAC systems: Transfer learning-based DRL [J ] . IEEE Transactions on Communications , 2025 , 73 ( 9 ): 8314 - 8329 . DOI: 10.1109/TCOMM.2025.3548797 http://dx.doi.org/10.1109/TCOMM.2025.3548797 .
Ren Q , Abbasi O , Kurt G K , et al . Caching and computation offloading in high altitude platform station (HAPS) assisted intelligent transportation systems [J ] . IEEE Transactions on Wireless Communications , 2022 , 21 ( 11 ): 9010 - 9024 . DOI: 10.1109/TWC.2022.3171824 http://dx.doi.org/10.1109/TWC.2022.3171824 .
Xu S , Yuan W , Zheng L , et al . DTFIRNet: Deep learning-based radar perception for urban low-altitude wireless networks [J ] . IEEE Transactions on Cognitive Communications and Networking , 2025 , 12 : 3223 - 3234 . DOI: 10.1109/TCCN.2025.3626368 http://dx.doi.org/10.1109/TCCN.2025.3626368 .
Zhang H , Han M , Liu X , et al . Joint resource allocation and trajectory optimization in multi-cell UAV and sidelink heterogeneous networks [J ] . IEEE Transactions on Wireless Communications , 2024 , 23 ( 11 ): 16635 - 16647 .
Qu Y , Dai H , Wang H , et al . service provisioning for UAV-enabled mobile edge computing [J ] . IEEE Journal on Selected Areas in Communications , 2021 , 39 ( 11 ): 3287 - 3305 . DOI: 10.1109/JSAC.2021.3088660 http://dx.doi.org/10.1109/JSAC.2021.3088660 .
赵川斌 , 罗宏亮 , 高飞飞 . 基站对低空无人机通感算一体化应用组网研究 [J ] . 移动通信 , 2024 , 48 ( 9 ): 57 - 63+70 . DOI: 10.3969/j.issn.1006-1010.20240511-0001 http://dx.doi.org/10.3969/j.issn.1006-1010.20240511-0001 .
Zhao C , Luo H , Gao F . Research on base station-based networking for low-altitude UAV integrated sensing-communication-computing applications [J ] . Mobile Communications , 2024 , 48 ( 9 ): 57 - 63+70 . DOI: 10.3969/j.issn.1006-1010.20240511-0001 http://dx.doi.org/10.3969/j.issn.1006-1010.20240511-0001 .
Van Chien T , Cong M D , Cong Luong N , et al . Joint computation offloading and target tracking in integrated sensing and communication enabled UAV networks [J ] . IEEE Communications Letters , 2024 , 28 ( 6 ): 1327 - 1331 . DOI: 10.1109/LCOMM.2024.3385768 http://dx.doi.org/10.1109/LCOMM.2024.3385768 .
Liu P , Fei Z , Wang X , et al . Joint offloading and beamforming design in integrating sensing, communication, and computing systems: A distributed approach [J ] . IEEE Transactions on Communications , 2025 , 73 ( 7 ): 4697 - 4712 . DOI: 10.1109/TCOMM.2024.3516488 http://dx.doi.org/10.1109/TCOMM.2024.3516488 .
Wang K , Zhang H , Liu Z , et al . Collaborative optimization of sensing, communication, and computation functionalities in MEC-Assisted ISAC Systems [J ] . IEEE Transactions on Cognitive Communications and Networking , 2026 , 12 : 1342 - 1355 . DOI: 10.1109/TCCN.2025.3612684 http://dx.doi.org/10.1109/TCCN.2025.3612684 .
Tang Y , Zhu G , Xu W , et al . Integrated sensing, computation, and communication for UAV-assisted federated edge learning [J ] . IEEE Transactions on Wireless Communications , 2025 , 24 ( 4 ): 2647 - 2662 . DOI: 10.1109/TWC.2024.3523381 http://dx.doi.org/10.1109/TWC.2024.3523381 .
Li B , Yang R , Liu L , et al . Service placement and trajectory design for heterogeneous tasks in Multi-UAV edge computing networks [J ] . IEEE Internet of Things Journal , 2025 , 12 ( 8 ): 9360 - 9371 . DOI: 10.1109/JIOT.2024.3439350 http://dx.doi.org/10.1109/JIOT.2024.3439350 .
Zhang Y , Na Z , Lin B , et al . Energy consumption minimization for integrated sensing, communication, computing, and caching in multilayer aerial Internet of Things [J ] . IEEE Internet of Things Journal , 2025 , 12 ( 22 ): 47787 - 47803 . DOI: 10.1109/JIOT.2025.3602793 http://dx.doi.org/10.1109/JIOT.2025.3602793 .
Qin P , Fu Y , Yu Z , et al . URLLC-aware trajectory plan and beamforming design for NOMA-aided UAV integrated sensing, communication, and computation networks [J ] . IEEE Transactions on Vehicular Technology , 2025 , 74 ( 1 ): 1610 - 1625 . DOI: 10.1109/TVT.2024.3460813 http://dx.doi.org/10.1109/TVT.2024.3460813 .
Liu Z , Liu X , Liu Y , et al . UAV assisted integrated sensing and communications for Internet of Things: 3D trajectory optimization and resource allocation [J ] . IEEE Transactions on Wireless Communications , 2024 , 23 ( 8 ): 8654 - 8667 . DOI: 10.1109/TWC.2024.3352985 http://dx.doi.org/10.1109/TWC.2024.3352985 .
Abdissa Bayessa G , Chai R , Liang C , et al . Joint UAV deployment and precoder optimization for multicasting and target sensing in UAV-assisted ISAC networks [J ] . IEEE Internet of Things Journal , 2024 , 11 ( 20 ): 33392 - 33405 . DOI: 10.1109/JIOT.2024.3430371 http://dx.doi.org/10.1109/JIOT.2024.3430371 .
Zhang X , Zhang H , Sun L , et al . STAR-RIS-aided UAV communication for next generation multiple access with resource allocation [J ] . IEEE Journal of Selected Topics in Signal Processing , 2024 , 18 ( 7 ): 1222 - 1234 . DOI: 10.1109/JSTSP.2024.3449124 http://dx.doi.org/10.1109/JSTSP.2024.3449124 .
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