An Analysis of the Signal-to-Interference Ratio in UAV-based Telecommunication Networks
Subject Areas : Wireless Network
hamid jafaripour
1
,
Mohammad Fathi
2
1 -
2 -
Keywords: Base Station, Telecommunication Coverage, UAV, Signal-to-interference Ratio.,
Abstract :
One of the most important issues in wireless telecommunication systems is to study coverage efficiency in urban environments. Coverage efficiency means improving the signal-to-interference ratio (SIR) by providing a maximum telecommunication coverage and establishing high-quality communication for users. In this paper, we use unmanned aerial vehicle (UAVs) as air base stations (BS) to investigate and improve the issue of maximizing coverage with minimal interference. First, we calculate the optimal height of the UAVs for the coverage radius of 400, 450, 500, 550, and 600 meters. Then, using simulation, we calculate and examine the value and status of SIR in UAVs with omnidirectional and directional antenna modes in symmetric and asymmetric altitude conditions, with and without considering the height of the UAVs. The best SIR is the UAV system with a directional antenna in asymmetric altitude conditions where the SIR range varies from 4.44db (the minimum coverage) to 52.11dB (maximum coverage). The worst SIR is the UAV system with an omnidirectional antenna in symmetrical height conditions without considering the height of the UAV. We estimate the range of SIR changes for different coverage ranges between 1.39 and 28dB. Factors affecting the SIR values from the most effective to the least, respectively, are coverage range and the antenna type, symmetrical and asymmetric height, and finally, considering or not considering the height of the UAV.
[1] Indu and R. Singh, “Trajectory planning and optimization for UAV communication: A review,” J. Discret. Math. Sci. Cryptogr., vol. 23, no. 2, pp. 475–483, 2020, doi: 10.1080/09720529.2020.1728901.
[2]Y. Zeng, R. Zhang, and T. J. Lim, “Wireless communications with unmanned aerial vehicles: Opportunities and challenges,” IEEE Commun. Mag., vol. 54, no. 5, pp. 36–42, 2016, doi: 10.1109/MCOM.2016.7470933.
[3] J. Ding, H. Mei, I. Chih-Lin, H. Zhang, and W. Liu, “Frontier progress of unmanned aerial vehicles optical wireless technologies,” Sensors (Switzerland), vol. 20, no. 19, pp. 1–35, 2020, doi: 10.3390/s20195476.
[4] A. Al-Hourani, S. Kandeepan, and S. Lardner, “Optimal LAP altitude for maximum coverage,” IEEE Wirel. Commun. Lett., vol. 3, no. 6, pp. 569–572, 2014, doi: 10.1109/LWC.2014.2342736.
[5] A. Al-Hourani, S. Chandrasekharan, G. Kaandorp, W. Glenn, A. Jamalipour, and S. Kandeepan, “Coverage and rate analysis of aerial base stations [Letter],” IEEE Trans. Aerosp. Electron. Syst., vol. 52, no. 6, pp. 3077–3081, 2016, doi: 10.1109/TAES.2016.160356.
[6] S. H. Mostafavi Amjad, V. Solouk, and H. Kalbkhani, "Energy-Efficient User Pairing and Power Allocation for Granted Uplink-NOMA in UAV Communication Systems", JIST, Vol. 10, No. 4, 2022, 312-323. doi: 10.52547/jist.27369.10.40.312.
[7] W. Shafik, S. M. Matinkhah, and M. Ghasemzadeh, "A Fast Machine Learning for 5G Beam Selection for Unmanned Aerial Vehicle Applications", JIST, Vol. 7, No. 4, 2019, 262-277. doi: 10.7508/jist.2019.04.003.
[8] 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 Wirel. Commun. Lett., vol. 7, no. 1, pp. 38–41, 2018, doi: 10.1109/LWC.2017.2752161.
[9] J. Lyu, Y. Zeng, R. Zhang, and T. J. Lim, “Placement Optimization of UAV-Mounted Mobile Base Stations,” IEEE Commun. Lett., vol. 21, no. 3, pp. 604–607, 2017, doi: 10.1109/LCOMM.2016.2633248.
[10] R. I. Bor-Yaliniz, A. El-Keyi, and H. Yanikomeroglu, “Efficient 3-D placement of an aerial base station in next generation cellular networks,” 2016 IEEE Int. Conf. Commun. ICC 2016, 2016, doi: 10.1109/ICC.2016.7510820.
[11] M. Mozaffari, W. Saad, M. Bennis, and M. Debbah, “Mobile internet of things: Can UAVs provide an energy-efficient mobile architecture?,” 2016 IEEE Glob. Commun. Conf. GLOBECOM 2016 - Proc., 2016, doi: 10.1109/GLOCOM.2016.7841993.
[12] S. Kumar, S. Suman, and S. De, “Backhaul and delay-aware placement of UAV-enabled base station,” INFOCOM 2018 - IEEE Conf. Comput. Commun. Work., pp. 634–639, 2018, doi: 10.1109/INFCOMW.2018.8406910.
[13] M. Gruber, “Role of altitude when exploring optimal placement of UAV access points,” IEEE Wirel. Commun. Netw. Conf. WCNC, vol. 2016-Septe, no. Wcnc, 2016, doi: 10.1109/WCNC.2016.7565073.
[14] Y. Chen, H. Zhang, and M. Xu, “The coverage problem in UAV network: A survey,” 5th Int. Conf. Comput. Commun. Netw. Technol. ICCCNT 2014, no. 3, pp. 3–7, 2014, doi: 10.1109/ICCCNT.2014.6963085.
[15]Y. Zeng and R. Zhang, “Energy-Efficient UAV Communication with Trajectory Optimization,” IEEE Trans. Wirel. Commun., vol. 16, no. 6, 2017, doi: 10.1109/TWC.2017.2688328.
[16] M. Mozaffari, W. Saad, M. Bennis, and M. Debbah, “Efficient Deployment of Multiple Unmanned Aerial Vehicles for Optimal Wireless Coverage,” IEEE Commun. Lett., vol. 20, no. 8, pp. 1647–1650, 2016, doi: 10.1109/LCOMM.2016.2578312.
[17] I. Valiulahi and C. Masouros, “Multi-UAV Deployment for Throughput Maximization in the Presence of Co-Channel Interference,” IEEE Internet Things J., vol. 8, no. 5, pp. 3605–3618, 2021, doi: 10.1109/JIOT.2020.3023010.
[18] E. Chu, J. M. Kim, and B. C. Jung, “Interference Analysis of Directional UAV Networks: A Stochastic Geometry Approach,” Int. Conf. Ubiquitous Futur. Networks, ICUFN, vol. 2019-July, pp. 9–12, 2019, doi: 10.1109/ICUFN.2019.8806095.
[19] W. Mei and R. Zhang, “Cooperative Downlink Interference Transmission and Cancellation for Cellular-Connected UAV: A Divide-and-Conquer Approach,” IEEE Trans. Commun., vol. 68, no. 2, pp. 1297–1311, 2020, doi: 10.1109/TCOMM.2019.2955953.
[20] W. Lu, P. Si, G. Huang, H. Peng, S. Hu, and Y. Gao, “Interference Reducing and Resource Allocation in UAV-Powered Wireless Communication System,” 2020 Int. Wirel. Commun. Mob. Comput. IWCMC 2020, pp. 220–224, 2020, doi: 10.1109/IWCMC48107.2020.9148329.
[21] A. A. Khuwaja, G. Zheng, Y. Chen, and W. Feng, “Optimum Deployment of Multiple UAVs for Coverage Area Maximization in the Presence of Co-Channel Interference,” IEEE Access, vol. 7, pp. 85203–85212, 2019, doi: 10.1109/ACCESS.2019.2924720.
[22] M. Jacovic, O. Bshara, and K. R. Dandekar, “Waveform Design of UAV Data Links in Urban Environments for Interference Mitigation,” IEEE Veh. Technol. Conf., vol. 2018-Augus, pp. 1–5, 2018, doi: 10.1109/VTCFall.2018.8690581.
[23] L. Zhou, X. Chen, M. Hong, S. Jin, and Q. Shi, “Efficient Resource Allocation for Multi-UAV Communication against Adjacent and Co-Channel Interference,” IEEE Trans. Veh. Technol., vol. 70, no. 10, pp. 10222–10235, 2021, doi: 10.1109/TVT.2021.3104279.
[24] L. Xie, J. Xu, and Y. Zeng, “Common Throughput Maximization for UAV-Enabled Interference Channel with Wireless Powered Communications,” IEEE Trans. Commun., vol. 68, no. 5, pp. 3197–3212, 2020, doi: 10.1109/TCOMM.2020.2971488.
[25] W. Tang, H. Zhang, Y. He, and M. Zhou, “Performance Analysis of Multi-Antenna UAV Networks with 3D Interference Coordination,” IEEE Trans. Wirel. Commun., 2021, doi: 10.1109/TWC.2021.3137347.
[26] P. Li, L. Xie, J. Yao, and J. Xu, “Cellular-Connected UAV with Adaptive Air-to-Ground Interference Cancellation and Trajectory Optimization,” IEEE Commun. Lett., no. April, pp. 1–1, 2022, doi: 10.1109/lcomm.2022.3164905.
[27] C. Gao, Z. Xue, W. Li, and W. Ren, “The influence of electromagnetic interference of HPM on UAV,” 2021 Int. Conf. Microw. Millim. Wave Technol. ICMMT 2021 - Proc., 2021, doi: 10.1109/ICMMT52847.2021.9617977.
[28] T. Z. H. Ernest, A. S. Madhukumar, R. P. Sirigina, and A. K. Krishna, “Impact of Cellular Interference on Uplink UAV Communications,” IEEE Veh. Technol. Conf., vol. 2020-May, 2020, doi: 10.1109/VTC2020-Spring48590.2020.9128682.
[29] J. Urama et al., “UAV-Aided Interference Assessment for Private 5G NR Deployments: Challenges and Solutions,” IEEE Commun. Mag., vol. 58, no. 8, pp. 89–95, 2020, doi: 10.1109/MCOM.001.00042.
