A Review of Integrated Sensing and Communication of Unmanned Aerial Vehicle Swarms
DOI:
https://doi.org/10.18063/csa.v3i1.919Keywords:
Integrated sensing and communication, unmanned aerial vehicle swarmsAbstract
Integrated sensing and communication (ISAC) for unmanned aerial vehicle (UAV) swarms, as a core technology of 6G space-air-ground integrated networks, significantly enhances the system efficiency of low-altitude economic and military applications by integrating sensing and communication functions. This paper studies the current status and future challenges of ISAC for UAV swarms from three aspects: physical layer transmission, beamforming and networking, and multi-task joint scheduling. In the future, it is necessary to deeply integrate estimation theory, optimization algorithms, and AI methods to break through the bottlenecks of physical layer dynamic modeling, intelligent networking, and joint sensing and communication scheduling for swarm ISAC, and promote the systematic implementation of low-altitude economic and defense applications.
References
Z. Wang, K. Han, J. Jiang, Z. Wei, G. Zhu, Z. Feng, J. Lu, and C. Meng “Symbiotic sensing and communications towards 6G: vision, applications, and technology trends,” IEEE VTC Fall Workshop on Integrated Sensing and Communication, pp. 1-5, 2021.
Bo Rong, “6G: The next horizon: from connected people and things to connected intelligence,’’ IEEE Wireless Communications, vol. 28, no. 5, pp. 1-8, Oct. 2021.
D. K. P. Tan, et al., “Integrated sensing and communication in 6G: motivations, use cases, requirements, challenges and future directions,’’ 2021 IEEE International Online Symposium on Joint Communications & Sensing (JC&S), pp. 1-6, 2021.
A. R. Chiriyath, B. Paul, G. M. Jacyna, and D. W. Bliss, “Inner bounds on performance of radar and communications co-existence,” IEEE Transactions on Signal Processing, vol. 64, no. 2, pp. 464–474, Jan. 2016.
A. Graff, A. Ali, and N. González-Prelcic, “Measuring radar and communication congruence at millimeter wave frequencies,” 53rd Asilomar Conference on Signals, Systems, and Computers, pp. 925-929, 2019.
Z. Xiao and Y. Zeng, “Waveform design and performance analysis for full-duplex integrated sensing and communication,’’ IEEE Journal on Selected Areas in Communications, vol. 40, no. 6, pp. 1823-1837, June 2022.
Cao X , Hu X , Peng M .Feedback-Based Beam Training for Intelligent Reflecting Surface Aided mmWave Integrated Sensing and Communication[J].IEEE Transactions on Vehicular Technology, 2023(6):72.
M. Kobayashi, et al，“Joint state sensing and communication over memory-less multiple access channels,” Proc. 2019 IEEE International Symposium on Information Theory (ISIT), pp. 270-274, 2019.
J. A. Zhang, “Multi-beam for joint communication and radar sensing using steerable analog antenna arrays,” IEEE Transactions on Vehicular Technology, vol.68, no.1, pp. 671-685, Jan. 2019.
Y. Xin, “Spatio-temporal power optimization for MIMO joint communication and radio sensing systems with training overhead,” IEEE Transactions on Vehicular Technology, vol.70, no. 1, pp. 514-528, Jan. 2021.
F. Liu and C. Masouros, “Hybrid beamforming with sub-arrayed MIMO radar: enabling joint sensing and communication at mmWave Band,’’ IEEE International Conference on Acoustics, Speech and Signal Processing, pp. 7770-7774, 2019.
Y. Zhou, H. Zhou, F. Zhou, Y. Wu, and V. C. M. Leung, “Resource allocation for a wireless powered integrated radar and communication system,’’ IEEE Wireless Communications Letters, vol. 8, no. 1, pp. 253-256, Feb. 2019.
J. Mu, “UAV meets integrated sensing and communication: challenges and future directions,’’ IEEE Communications Magazine, vol. 62, no. 5, pp. 62-67, Feb. 2023.
W. Jiang, “Improve sensing and communication performance of UAV via integrated sensing and communication,’’ 2021 IEEE 21st International Conference on Communication Technology (ICCT), pp. 644-648, 2021.
W. Ouyang, “Intelligent fusion of integrated sensing and communication signal on the UAV platform,’’ 2022 IEEE/CIC International Conference on Communications, pp. 1-6, 2022.
Z. Wan, “Joint channel estimation and radar sensing for UAV networks with mmWave massive MIMO,’’ International Wireless Communications and Mobile Computing (IWCMC): pp. 44-49, 2022.
W. Wang and W. Zhang. “Jittering effects analysis and beam training design for UAV millimeter wave communications,’’ IEEE Transactions on Wireless Communications, vol. 21, no. 5, pp. 3131-3146, Dec. 2018.
Wu Peng, Wu Qun, Zhou Ligang, et al. A TOPSIS decision-making method based on multi-objective attribute weight optimization of hesitant fuzzy language [J]. Operations Research and Management, 2021,30(6):42-47.
X. Chen, Z. Feng, Z. Wei, F. Gao, and X. Yuan, “Performance of joint sensing-communication cooperative sensing UAV network,’’ IEEE Transactions on Vehicular Technology, vol. 69, no. 12, pp. 15545-15556, Dec. 2020.
M. Rihan and L. Huang, “Non-orthogonal multiple access based cooperative spectrum sharing between MIMO radar and MIMO communication systems,” Digital Signal Processing, vol. 13, no. 54, pp. 1-11, Dec. 2018.
J. Han, “A multiple access method For integrated sensing and communication enabled UAV ad hoc network,’’ 2022 IEEE Wireless Communications and Networking Conference (WCNC): pp. 184-188, 2022.
K. Meng and Q. Wu. “Throughput maximization for UAV-enabled integrated periodic sensing and communication,’’ IEEE International Conference on Communications Workshops, pp. 987-992, 2022.
Tong Xiao. Security Research on Integrated Radar Communication System [D]. Harbin Engineering University, 2022.
Z. Lyu, “Joint maneuver and beamforming design for UAV-enabled integrated sensing and communication,’’ IEEE Transactions on Wireless Communications, vol. 22, no. 4, pp. 2424 - 2440, Apr. 2023.
F. Wang and H. Li, “Joint power allocation for radar and communication co-existence,” IEEE Signal Processing Letters, vol. 26, no. 11, pp. 1608-1612, Nov. 2019.
B. Zhao, M. Wang, Z. Xing, G. Ren, and J. Su, “Integrated sensing and communication aided dynamic resource allocation for random access in satellite terrestrial relay networks,’’ IEEE Communications Letters, vol. 27, no. 2, pp. 661-665, Feb. 2023.
C. Wang, D. Deng, L. Xu, W. Wang, and F. Gao, “Joint interference alignment and power control for dense networks via deep reinforcement learning,’’ IEEE Wireless Communications Letters, vol. 10, no. 5, pp. 966-970, May 2021.
Wei Zhiqing, Niu Yangyang, Wang Yi, et al. Integrated Communication and Perception Interference Management: Current Status and Prospects [J]. Journal of Beijing University of Posts and Telecommunications, 2022,45(6):10.
Q. Zhang, X. Wang, Z. Li, and Z. Wei, “Design and performance evaluation of joint sensing and communication integrated system for 5G mmWave enabled CAVs,’’ IEEE Journal of Selected Topics in Signal Processing, vol. 15, no. 6, pp. 1500-1514, Nov. 2021.
B. Chang, W. Tang, X. Yan, X. Tong, and Z. Chen, “Integrated scheduling of sensing, communication, and control for mmWave/THz communications in cellular connected UAV networks,’’ IEEE Journal on Selected Areas in Communications, vol. 40, no. 7, pp. 2103-2113, July 2022.
Liu Chenxi, Ma Rui, Peng Mugen. Integrated UAV Communication and Perception: Architecture, Technology, and Prospects [J]. Telecommunications Science,2023,39(2).
