Abstract
Future wireless communication, especially the densified 5G network using millimeter-Wave (mmWave) will bring numerous innovations to the current telecommunication industry. In such scenario, the use of Unmanned Aerial Vehicle (UAV) as Base Station (BS) becomes one of the viable options for providing 5G services. The focus of this study is to investigate, analyze and describe the distinctive rich characteristics of mmWave propagation in Access and backhaul network simultaneously using UAV. The mathematical framework is formulated for calculating UE (User Equipment) received power for the relay path (BS–UAV–UE) based on Friis Transmission Equation. We conduct simulations using the ray-tracing simulator in different scenarios while comparing and verifying the simulation results vs mathematical equations. Using ray racing simulator, the effectiveness of diffracted, reflected, and scattered paths versus direct paths is described. Furthermore, using extensive simulations, we highlight the impact of UAV location to maximize the performance of an Amplify-and-Forward UAV based relay for providing enhanced coverage to the users.
Similar content being viewed by others
References
Qualcomm, L. (2017). Unmanned aircraft systems—Trial report. San Diego: Qualcomm Technologies Inc.
Lin, X., et al. (2018). The sky is not the limit: LTE for unmanned aerial vehicles. IEEE Communications Magazine,56(4), 204–210.
Khan, S. K. (2019). Performance evaluation of next generation wireless UAV relay with millimeter-wave in access and backhaul. Masters by Research, Engineering, RMIT University.
Wu, Q., Xu, J., & Zhang, R. J. I. J. S. A. C. (2018). Capacity characterization of UAV-enabled two-user broadcast channel. IEEE Journal on Selected Areas in Communications,36(9), 1955–1971.
Kong, L., et al. (2017). Autonomous relay for millimeter-wave wireless communications. IEEE Journal on Selected Areas in Communications,35(9), 2127–2136.
Mozaffari, Mohammad, et al. (2019). A tutorial on UAVs for wireless networks: Applications, challenges, and open problems. IEEE Communications Surveys & Tutorials,21(3), 2334–2360.
Niu, Y., et al. (2015). A survey of millimeter wave communications (mmWave) for 5G: opportunities and challenges. Wireless Networks,21(8), 2657–2676.
Kutty, S., & Sen, D. J. I. C. S. (2015). Tutorials, Beamforming for millimeter wave communications: An inclusive survey. IEEE Communications Surveys & Tutorials,18(2), 949–973.
Akdeniz, M. R., et al. (2014). Millimeter wave channel modeling and cellular capacity evaluation. IEEE Journal on Selected Areas in Communications,32(6), 1164–1179.
Zeng, Y., Zhang, R., & Lim, T. J. J. I. C. M. (2016). Wireless communications with unmanned aerial vehicles: Opportunities and challenges. IEEE Communications Magazine,54(5), 36–42.
Kakar, J., & Marojevic V. (2017). Waveform and spectrum management for unmanned aerial systems beyond 2025. In 2017 IEEE 28th Annual international symposium on personal, indoor, and mobile radio communications (PIMRC). IEEE.
Kuo, P.-H., & Mourad, A. (2017). Millimeter wave for 5G mobile fronthaul and backhaul. In 2017 European conference on networks and communications (EuCNC). IEEE.
Weiler, R.J., et al. (2014) Enabling 5G backhaul and access with millimeter-waves. In 2014 European conference on networks and communications (EuCNC). IEEE.
Bor-Yaliniz, R.I., El-Keyi, A., & Yanikomeroglu, H. (2016) Efficient 3-D placement of an aerial base station in next generation cellular networks. In 2016 IEEE international conference on communications (ICC). IEEE.
Mozaffari, M., et al. (2015). Drone small cells in the clouds: Design, deployment and performance analysis. In 2015 IEEE global communications conference (GLOBECOM). IEEE.
Saha, B., et al. (2011). Battery health management system for electric UAVs. In 2011 aerospace conference. IEEE.
Almers, P., et al. (2007). Survey of channel and radio propagation models for wireless MIMO systems. EURASIP Journal on Wireless Communications and Networking,2007(1), 019070.
Sharma, V., Sabatini, R., & Ramasamy, S. J. I. C. L. (2016). UAVs assisted delay optimization in heterogeneous wireless networks. IEEE Communications Letters,20(12), 2526–2529.
Laneman, J.J.I.T.I.T. (2004). Cooperative diversity in wireless networks: Efficient protocols and outage behavior. IEEE Transactions on Information Theory, 50(12), 283–289.
Iwamura, M., Takahashi, H., & Nagata, S. J. N. D. T. J. (2010). Relay technology in LTE-advanced. NTT DoCoMo Technical Journal,12(2), 29–36.
Saakian, A. (2011). Radio wave propagation fundamentals. Norwood: Artech House.
Zhao, H., et al. (2013). 28 GHz millimeter wave cellular communication measurements for reflection and penetration loss in and around buildings in New York city. In 2013 IEEE international conference on communications (ICC). IEEE.
Gapeyenko, M., et al. (2018). Effects of blockage in deploying mmWave drone base stations for 5 g networks and beyond. In 2018 IEEE international conference on communications workshops (icc workshops). IEEE.
Naseem, U., Khan, S. K., Razzak, I., & Hameed, I. A. (2019). Hybrid words representation for airlines sentiment analysis. In J. Liu & J. Bailey (Eds.), AI 2019: Advances in artificial intelligence. Lecture notes in computer science (Vol. 11919, pp. 381–392). Cham: Springer.
Author information
Authors and Affiliations
Corresponding author
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Khan, S., Farasat, M., Naseem, U. et al. Performance Evaluation of Next-Generation Wireless (5G) UAV Relay. Wireless Pers Commun 113, 945–960 (2020). https://doi.org/10.1007/s11277-020-07261-x
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11277-020-07261-x