A Deep Neural Network Based UAV-assisted Wireless Network

Ibrahem Mouhamad, Weijia Zhang

Abstract


In this paper, we present a dataset and a deep neural network model for predicting signal quality in an urban outdoor environment for Unmanned Aerial Vehicles (UAVs)-assisted wireless networks. The dataset contains Signal-to-Interference-plus-Noise Ratio (SINR) and Line-of-Sight (LoS) values for different locations and heights in the region of interest, calculated using a ray-tracing model based on the Shooting and Bouncing Rays (SBR) method. We analyze the dataset to investigate the dependence of SINR and LoS values on the distance and height of the receiver. We also propose a Deep Neural Network (DNN) model trained on the dataset to predict signal quality in the selected region at different heights. We evaluate the performance of the DNN model and show that it can accurately predict the coverage probability in the region of interest.

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References


M. Z. Chowdhury, M. Shahjalal, S. Ahmed, and Y. M. Jang, “6G Wireless Communication Systems: Applications, Requirements, Technologies, Challenges, and Research Directions,” IEEE Open Journal of the Communications Society, vol. 1, pp. 957–975, 2020, conference Name: IEEE Open Journal of the Communications Society.

Q. V. Khanh, N. V. Hoai, L. D. Manh, A. N. Le, and G. Jeon, “Wireless Communication Technologies for IoT in 5G: Vision, Applications, and Challenges,” Wireless Communications and Mobile Computing, vol. 2022, p. e3229294, Feb. 2022, publisher: Hindawi. [Online]. Available: https://www.hindawi.com/journals/wcmc/2022/3229294/

M. F. Ali, D. N. K. Jayakody, S. Garg, G. Kaddoum, and M. S. Hossain, “Dual-hop mixed fso-vlc underwater wireless communication link,” IEEE Transactions on Network and Service Management, vol. 19, no. 3, pp. 3105–3120, 2022.

B. Brik, A. Ksentini, and M. Bouaziz, “Federated Learning for UAVs-Enabled Wireless Networks: Use Cases, Challenges, and Open Problems,” IEEE Access, vol. 8, pp. 53 841–53 849, 2020, conference Name: IEEE Access.

M. Mozaffari, W. Saad, M. Bennis, Y.-H. Nam, and M. Debbah, “A Tutorial on UAVs for Wireless Networks: Applications, Challenges, and Open Problems,” Mar. 2019, arXiv:1803.00680 [cs, math]. [Online]. Available: http://arxiv.org/abs/1803.00680

D. Tse and P. Viswanath, Fundamentals of Wireless Communication, illustrated edition ed. Cambridge, UK ; New York: Cambridge University Press, Jul. 2005.

M. F. Ali, D. N. K. Jayakody, and Y. Li, “Recent trends in underwater visible light communication (uvlc) systems,” IEEE Access, vol. 10, pp. 22 169–22 225, 2022.

K. Schaubach, N. Davis, and T. Rappaport, “A ray tracing method for predicting path loss and delay spread in microcellular environments,” in [1992 Proceedings] Vehicular Technology Society 42nd VTS Conference - Frontiers of Technology, May 1992, pp. 932–935 vol.2, iSSN: 1090-3038.

Z. Yun and M. F. Iskander, “Ray Tracing for Radio Propagation Modeling: Principles and Applications,” IEEE Access, vol. 3, pp. 1089–1100, 2015, conference Name: IEEE Access.

D. Shi, X. Tang, and C. Wang, “The acceleration of the shooting and bouncing ray tracing method on GPUs,” in 2017 XXXIInd General Assembly and Scientific Symposium of the International Union of Radio Science (URSI GASS), Aug. 2017, pp. 1–3.

H. Ling, R.-C. Chou, and S.-W. Lee, “Shooting and bouncing rays: calculating the RCS of an arbitrarily shaped cavity,” IEEE Transactions on Antennas and Propagation, vol. 37, no. 2, pp. 194–205, Feb. 1989, conference Name: IEEE Transactions on Antennas and Propagation.

International Telecommunications Union Radiocommunication Sector, “Propagation data and prediction methods for the planning of short-range outdoor radio-communication systems and radio local area networks in the frequency range 300 MHz to 100 GHz,” Recommendation P.1411-11. ITU-R, 2021.

T. M. Inc., “Ray tracing propagation model,” Natick, Massachusetts, United States, 2023. [Online]. Available: https://www.mathworks.com/help/stats/index.html

D. A. McNamara and C. W. I. Pistotius, Introduction to the Uniform Geometrical Theory of Diffraction, illustrated edition ed. Boston: Artech Print on Demand, Jan. 1990.

I. T. U. R. Sector, “Effects of building materials and structures on radiowave propagation above about 100 mhz,” Recommendation P. 2040-2. ITU-R, 2021.

International Telecommunications Union Radiocommunication Sector, “Electrical characteristics of the surface of the Earth,” Recommendation P. 527-6. ITU-R, 2021.

“OpenStreetMap.” [Online]. Available: https://www.openstreetmap.org/

“The Universal Transverse Mercator (UTM) Grid,” USGS Publications Ware-house, 2001.

R. Sun, “Optimization for deep learning: theory and algorithms,” Dec. 2019, arXiv:1912.08957 [cs, math, stat]. [Online]. Available: http://arxiv.org/abs/1912.08957.


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