Е-Публикации
Технически университет - София

Abstract: The requirements presented by the new application scenarios and use-cases for modern wireless networks have led to the increasingly heterogeneous types of communication nodes with various density. The implementation of unmanned aerial vechile (UAV) based aerial base stations (ABSs) into the current and upcoming heterogenous networks (Het-Nets) has a growing importance for research in the field. Determining the positioning of the ABS is a crucial aspect in UAV-assisted networks. This paper presents an evaluation of the throughput for different positions (random, center, and the four edges of the UAV operational region) for the ABS within an UAV-assisted Het-Net. Based on the system throughput, the best ABS position is empirically determined and the gain provided by the ABS in comparison to the traditional Het-Net, is assessed. System throughput of up to 190 Mbps is achieved, which is nearly 3 times higher than that in the alternative case.

References

1. M. Giordani, M. Polese, M. Mezzavilla, S. Rangan, and M. Zorzi, “Toward 6g networks: Use cases and technologies,” IEEE communications magazine, vol. 58, no. 3, pp. 55–61, 2020.
2. H. Tataria, M. Shafi, A. F. Molisch, M. Dohler, H. Sjöland, and F. Tufvesson, “6g wireless systems: Vision, requirements, challenges, insights, and opportunities,” Proceedings of the IEEE, vol. 109, no. 7, pp. 1166–1199, 2021.
3. 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 & tutorials, vol. 21, no. 3, pp. 2334–2360, 2019.
4. J. Hu, S. K. Moorthy, A. Harindranath, Z. Zhang, Z. Zhao, N. Mastronarde, E. S. Bentley, S. mozaffari2019tutorialPudlewski, and Z. Guan, “A mobility-resilient spectrum sharing framework for operating wireless uavs in the 6 ghz band,” IEEE/ACM Transactions on Networking, vol. 31, no. 6, pp. 3128–3142, 2023.
5. X. Yan, X. Fang, C. Deng, and X. Wang, “Joint optimization of resource allocation and trajectory control for mobile group users in fixed-wing uav-enabled wireless network,” IEEE Transactions on Wireless Communications, 2023.
6. S. A. Al-Ahmed, M. Z. Shakir, and S. A. R. Zaidi, “Optimal 3d uav base station placement by considering autonomous coverage hole detection, wireless backhaul and user demand,” Journal of Communications and Networks, vol. 22, no. 6, pp. 467–475, 2020.
7. J. Chen and D. Gesbert, “Optimal positioning of flying relays for wireless networks: A los map approach,” in 2017 IEEE international conference on communications (ICC). IEEE, 2017, pp. 1–6.
8. X. Yuan, Y. Hu, J. Gross, and A. Schmeink, “Radio-map-based uav placement design for uav-assisted relaying networks,” in 2021 IEEE Statistical Signal Processing Workshop (SSP). IEEE, 2021, pp. 286–290.
9. H.-N. Nguyen, N.-T. Nguyen, and G.-T. Vo, “On performance analysis of non-orthogonal multiple access downlink for cellular-connected unmanned aerial vehicle relaying assisted vehicle-to-everything system,” International Journal of Electrical and Computer Engineering (IJECE), vol. 14, no. 2, pp. 1634–1645, 2024.
10. D. Zhao, H. Qin, B. Song, B. Han, X. Du, and M. Guizani, “A graph convolutional network-based deep reinforcement learning approach for resource allocation in a cognitive radio network,” Sensors, vol. 20, no. 18, p. 5216, 2020.
11. D. Aláez, M. Celaya-Echarri, L. Azpilicueta, and J. Villadangos, “Uavradio: radio link path loss estimation for uavs,” SoftwareX, vol. 25, p. 101628, 2024.
12. A. Goldsmith, Wireless Communications. Cambridge University Press, 2005.
13. S. Zhao, J. Zhao, H. Qu, and G. Ren, “Analysis of user content retrieval delay based on the matern hard-core point process of type ii,” Wireless Communications and Mobile Computing, vol. 2018, 2018.

Issue

Copyright IEEE