Integrated Robotics Networks with Co-optimization of Drone Placement and Air-Ground Communications (2309.04730v2)
Abstract: Terrestrial robots, i.e., unmanned ground vehicles (UGVs), and aerial robots, i.e., unmanned aerial vehicles (UAVs), operate in separate spaces. To exploit their complementary features (e.g., fields of views, communication links, computing capabilities), a promising paradigm termed integrated robotics network emerges, which provides communications for cooperative UAVs-UGVs applications. However, how to efficiently deploy UAVs and schedule the UAVs-UGVs connections according to different UGV tasks become challenging. In this paper, we propose a sum-rate maximization problem, where UGVs plan their trajectories autonomously and are dynamically associated with UAVs according to their planned trajectories. Although the problem is a NP-hard mixed integer program, a fast polynomial time algorithm using alternating gradient descent and penalty-based binary relaxation, is devised. Simulation results demonstrate the effectiveness of the proposed algorithm.
- R. Han, S. Wang, S. Wang, Z. Zhang, Q. Zhang, Y. C. Eldar, Q. Hao, and J. Pan, “Rda: An accelerated collision free motion planner for autonomous navigation in cluttered environments,” IEEE Robot. Autom. Lett., vol. 8, no. 3, pp. 1715–1722, 2023.
- J. Tang, G. Chen, and J. P. Coon, “Secrecy performance analysis of wireless communications in the presence of UAV jammer and randomly located UAV eavesdroppers,” IEEE Trans. Inf. Forensics Security, vol. 14, no. 11, pp. 3026–3041, 2019.
- W. Wang and W. Zhang, “Jittering effects analysis and beam training design for UAV millimeter wave communications,” IEEE Trans. Wireless Commun., vol. 21, no. 5, pp. 3131–3146, 2022.
- G. Niu, L. Wu, Y. Gao, and M.-O. Pun, “Unmanned aerial vehicle (UAV)-assisted path planning for unmanned ground vehicles (UGVs) via disciplined convex-concave programming,” IEEE Trans. Veh. Technol., vol. 71, no. 7, pp. 6996–7007, 2022.
- L. Deng, B. Yang, X. Dong, Y. Cui, Y. Gao, D. Li, and Z. Tu, “Self-spin enabled docking and detaching of a UAV-UGV system for aerial-terrestrial amphibious and independent locomotion,” IEEE Robot. Autom. Lett., vol. 8, no. 5, pp. 2454–2461, 2023.
- X. Xu, Y. Qian, R. Zhang, and X. Yang, “Integrated radar-aided localization and qos-aware communications for UAV-UGV cooperative systems,” in Proc. 13th Int. Conf. Wireless Commun. Signal Process. (WCSP), Oct. 2021, pp. 1–6.
- J. Chen, X. Zhang, B. Xin, and H. Fang, “Coordination between unmanned aerial and ground vehicles: A taxonomy and optimization perspective,” IEEE Trans. Cybern., vol. 46, no. 4, pp. 959–972, 2016.
- J. Li, G. Deng, C. Luo, Q. Lin, Q. Yan, and Z. Ming, “A hybrid path planning method in unmanned air/ground vehicle (UAV/UGV) cooperative systems,” IEEE Trans. Veh. Technol., vol. 65, no. 12, pp. 9585–9596, 2016.
- J. Li, T. Sun, X. Huang, L. Ma, Q. Lin, J. Chen, and V. C. M. Leung, “A memetic path planning algorithm for unmanned air/ground vehicle cooperative detection systems,” IEEE Trans. Autom. Sci. Eng., vol. 19, no. 4, pp. 2724–2737, 2022.
- J. Zhao, Y. Nie, H. Zhang, and F. Richard Yu, “A UAV-Aided vehicular integrated platooning network for heterogeneous resource management,” IEEE Trans. Green Commun. Netw., vol. 7, no. 1, pp. 512–521, 2023.
- Y. Cai, Z. Wei, R. Li, D. W. K. Ng, and J. Yuan, “Joint trajectory and resource allocation design for energy-efficient secure UAV communication systems,” IEEE Trans. Commun., vol. 68, no. 7, pp. 4536–4553, 2020.
- Y. Chen, W. Feng, and G. Zheng, “Optimum placement of UAV as relays,” IEEE Commun. Lett., vol. 22, no. 2, pp. 248–251, 2018.
- M. Alzenad, A. El-Keyi, and H. Yanikomeroglu, “3-D placement of an unmanned aerial vehicle base station for maximum coverage of users with different QoS requirements,” IEEE Wireless Commun. Lett., vol. 7, no. 1, pp. 38–41, 2018.
- A. Al-Hourani, S. Kandeepan, and A. Jamalipour, “Modeling air-to-ground path loss for low altitude platforms in urban environments,” in Proc. IEEE Global Commun. Conf., Dec. 2014, pp. 2898–2904.
- W. de Oliveira, “Sequential difference-of-convex programming,” J. Optim. Theory Appl., vol. 186, pp. 936–959, 2020.
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