Energy optimization for Full-Duplex Wireless-Powered IoT Networks using Rotary-Wing UAV with Multiple Antennas (2307.02302v1)
Abstract: In this paper, we propose a novel design for the rotary-wing unmanned aerial vehicle (UAV)-enabled full-duplex (FD) wireless-powered Internet of Things (IoT) networks. In this network, the UAV is equipped with an antenna array, and the $K$ IoT sensors, which are distributed randomly, use single-antenna to communicate. By sending the energy, the UAV as a hybrid access point, charges the sensors and collects information from them. Then, to manage the time and optimize the energy, the sensors are divided into N groups, so that the UAV equipped with multi-input multi-output (MIMO) technology can serve the sensors in a group, during the total time $T$. We provide a simple implementation of the wireless power transfer protocol in the sensors by using the time division multiple access (TDMA) scheme to receive information from the users. In other words, the sensors of each group receive energy from the UAV, when it hovers over the sensors of the previous group, and also when the UAV flies over the previous group to the current group. The sensors of each group send their information to the UAV, when the UAV is hovering over their group. Under these assumptions, we formulate two optimization problems: a sum throughput maximization problem, and a total time minimization problem. Numerical results show that our proposed optimal network provides better performance than the existing networks. In fact, our novel design can serve more sensors at the cost of using more antennas compared to that of the conventional networks.
- K. M. Sudharshan and A. R. Bhavya, “Hardware and software method to reduce power consumption in battery operated IoT devices,” in 2022 IEEE Fourth International Conference on Advances in Electronics, Computers and Communications (ICAECC), 2022, pp. 1–4.
- M. Chen, W. Saad, and C. Yin, “Virtual reality over wireless networks: Quality-of-service model and learning-based resource management,” IEEE Transactions on Communications, vol. 66, no. 11, pp. 5621–5635, 2018.
- Y. Zhang, “Radio frequency power source design for wireless power transfer system,” in 2018 IEEE Wireless Power Transfer Conference (WPTC), 2018, pp. 1–4.
- X. Kang, C. K. Ho, and S. Sun, “Full-duplex wireless-powered communication network with energy causality,” IEEE Transactions on Wireless Communications, vol. 14, no. 10, pp. 5539–5551, 2015.
- M. Mozaffari, W. Saad, M. Bennis, Y.-H. Nam, and M. Debbah, “A tutorial on UAVs for wireless networks: Applications, challenges, and open problems,” IEEE Communications Surveys and Tutorials, vol. 21, no. 3, pp. 2334–2360, 2019.
- T. Alladi, Naren, G. Bansal, V. Chamola, and M. Guizani, “SecAuthUAV: A novel authentication scheme for UAV-ground station and UAV-UAV communication,” IEEE Transactions on Vehicular Technology, vol. 69, no. 12, pp. 15 068–15 077, 2020.
- D. S. Lakew, A. Masood, and S. Cho, “3D UAV placement and trajectory optimization in UAV assisted wireless networks,” in 2020 International Conference on Information Networking (ICOIN), 2020, pp. 80–82.
- M. Mozaffari, W. Saad, M. Bennis, and M. Debbah, “Unmanned aerial vehicle with underlaid device-to-device communications: Performance and tradeoffs,” IEEE Transactions on Wireless Communications, vol. 15, no. 6, pp. 3949–3963, 2016.
- X. Xu, W. Saad, X. Zhang, X. Xu, and S. Zhou, “Joint deployment of small cells and wireless backhaul links in next-generation networks,” IEEE Communications Letters, vol. 19, no. 12, pp. 2250–2253, 2015.
- Y. Zeng, J. Xu, and R. Zhang, “Energy minimization for wireless communication with rotary-wing UAV,” IEEE Transactions on Wireless Communications, vol. 18, no. 4, pp. 2329–2345, 2019.
- C. Zhan, Y. Zeng, and R. Zhang, “Energy-efficient data collection in UAV enabled wireless sensor network,” IEEE Wireless Communications Letters, vol. 7, no. 3, pp. 328–331, 2018.
- J. Xu, Y. Zeng, and R. Zhang, “UAV-enabled wireless power transfer: Trajectory design and energy optimization,” IEEE Transactions on Wireless Communications, vol. 17, no. 8, pp. 5092–5106, 2018.
- H.-T. Ye, X. Kang, J. Joung, and Y.-C. Liang, “Optimization for full-duplex rotary-wing UAV-enabled wireless-powered IoT networks,” IEEE Transactions on Wireless Communications, vol. 19, no. 7, pp. 5057–5072, 2020.
- H.-T. Ye, X. Kang, Y.-C. Liang, and J. Joung, “Full-duplex wireless-powered IoT networks with unmanned aerial vehicle,” in 2018 International Conference on Information and Communication Technology Convergence (ICTC), 2018, pp. 124–129.
- L. Xie, J. Xu, and R. Zhang, “Throughput maximization for UAV-enabled wireless powered communication networks,” IEEE Internet of Things Journal, vol. 6, no. 2, pp. 1690–1703, 2019.
- J. Gong, T.-H. Chang, C. Shen, and X. Chen, “Flight time minimization of UAV for data collection over wireless sensor networks,” IEEE Journal on Selected Areas in Communications, vol. 36, no. 9, pp. 1942–1954, 2018.
- Y. Hu, X. Yuan, J. Xu, and A. Schmeink, “Optimal 1D trajectory design for UAV-enabled multiuser wireless power transfer,” IEEE Transactions on Communications, vol. 67, no. 8, pp. 5674–5688, 2019.
- Z. JianXiong, S. ZhiGuang, and Z. YongFeng, “Superresolution performance of different spatial smoothing methods for short uniform linear array,” IEEE Antennas and Wireless Propagation Letters, vol. 21, no. 6, pp. 1144–1147, 2022.
- R. M. Corless, G. H. Gonnet, D. E. G. Hare, D. J. Jeffrey, and D. E. Knuth, “On the Lambert W function,” Advances in Computational Mathematics, vol. 5, p. 329–359, 1996.
- S. Boyd and L. Vandenberghe, Convex Optimization. Cambridge University Press.
- B. Dacorogna and P. Maréchal, “The role of perspective functions in convexity, polyconvexity, rank-one convexity and separate convexity,” Journal of Convex Analysis, vol. 15, no. 2, pp. 271–284, 2008.