• Andrii Grekhov National Aviation University
  • Svitlana Ilnytska National Aviation University; Wenzhou University, China
  • Vasyl Kondratiuk National Aviation University



Remotely Piloted Air System (RPAS), communication channel, data traffic, drone, transaction size, time between transactions, travel time, Bit Error Rate, bandwidth, dropped packets, statistical distribution law


This study is devoted to obtaining the traffic characteristics of communication channel between the Remotely Piloted Air System (RPAS) and the Base Station, the model of which was created in professional software NetCracker. The dependencies of dropped packets, message Travel Time (TT) and HUB Average Utilization on the Transaction Size (TS), the link bandwidth and the Bit Error Rate (BER) for different distribution laws of Time Between Transactions (TBT) were analyzed. It was observed that for smaller TBT the lower transaction size can be transmitted, which is true for all distributions. But the lowest percentage of packet loss is observed for the LogNormal distribution. Additionally, it was observed that the TT does not depend on the value of the TBT parameter with the Exponential or LogNormal distribution laws, which is not true for the Const law. Hub utilization does not exceed ≈ 20% for all distributions with 1 s TBT. Nevertheless, the maximal TS for LogNormal law is ten times bigger than for other laws. The transaction TT decreases with the transmission rate increase, and for T3 bandwidth it equals to 0.5 s approximately for all considered distributions. However, the smallest percentage of packet loss and HUB utilization is observed for the LogNormal law. The TT does not exceed 1 s for low BER values for all TBT distributions. Such numerical analysis allows us set up and change traffic parameters while observing the results under specified transmission modes.

Author Biographies

Andrii Grekhov, National Aviation University

Doctor of Physical and Mathematical Sciences, Professor, National Aviation University. Education: Kyiv State T. Shevchenko University (1973). Research area: surveillance, ADS-B systems, telecommunications, computer modeling.

Svitlana Ilnytska, National Aviation University; Wenzhou University, China

Ph.D, Senior Researcher in the Institute of Laser and Optoelectronics Intelligent Manufacturing, Wenzhou University (China). Education: National Aviation University (2007) Research area: computer modelling, integrated satellite-inertial navigation systems, unmanned aerial vehicles, global navigation satellite systems, aviation, performance-based navigation (PBN), UAV communication channels, space-air-ground integrated systems, experimental techniques.

Vasyl Kondratiuk, National Aviation University

Director of Research and Training Centre "Aerospace Centre", National Aviation University. Education: Kyiv Polytechnic Institute (1985). Research area: global navigation satellite systems, unmanned aerial vehicles, aviation, performance-based navigation (PBN), experimental techniques.


Yan, C., Fu, L., Zhang, J., & Wang, J. (2019). A Comprehensive Survey on UAV Communication Channel Modeling. IEEE Access, 7, pp. 107769–107792.

Khuwaja, A. A., Chen, Y., Zhao, N., Alouini, M. S., & Dobbins, P. (2018). A survey of channel modeling for uav communications. IEEE Communications Surveys and Tutorials, 20(4), pp 2804–2821.

Khawaja, W., Guvenc, I., Matolak, D. W., Fiebig, U., & Schneckenburger, N. (2019). A Survey of Air-to-Ground Propagation Channel Modeling for Unmanned Aerial Vehicles. IEEE Communications Surveys & Tutorials, 21(3), pp. 2361–2391.

Cao, X., Yang, P., Alzenad, M., Xi, X., Wu, D., & Yanikomeroglu, H. (2018). Airborne communication networks: A survey. In IEEE Journal on Selected Areas in Communications (Vol. 36, Issue 9, pp. 1907–1926).

Li, B., Fei, Z., & Zhang, Y. (2019). UAV Communications for 5G and Beyond: Recent Advances and Future Trends. IEEE Internet of Things Journal, 6(2), pp. 2241–2263.

Mozaffari, M., Saad, W., Bennis, M., Nam, Y. H., & Debbah, M. (2019). A Tutorial on UAVs for Wireless Networks: Applications, Challenges, and Open Problems. IEEE Communications Surveys and Tutorials, 21(3), pp. 2334–2360.

Vinogradov, E., Sallouha, H., De Bast, S., Azari, M. M., & Pollin, S. (2018). Tutorial on UAVs: A blue sky view on wireless communication. In Journal of Mobile Multimedia (Vol. 14, Issue 4, pp. 395–468).

Sharma, V. (2019). Advances in Drone Communications, State-of-the-Art and Architectures. Drones, 3(1), 21 p.

Shi, W., Li, J., Xu, W., Zhou, H., Zhang, N., Zhang, S., & Shen, X. (2018). Multiple drone-cell deployment analyses and optimization in drone assisted radio access networks. IEEE Access, 6, pp. 12518–12529.

Catherwood, P. A., Black, B., Mohamed,

E. B., Cheema, A. A., Rafferty, J., & McLaughlin, J. A. D. (2019). Radio channel characterization of mid-band 5G service delivery for ultra-low altitude aerial base stations. IEEE Access, 7, pp. 8283–8299.

Marchese, M., Moheddine, A., & Patrone, F. (2019). IoT and UAV integration in 5G hybrid terrestrial-satellite networks. Sensors (Switzerland), 19(17), 3704 p.

Naqvi, S. A. R., Hassan, S. A., Pervaiz, H., & Ni, Q. (2018). Drone-Aided Communication as a Key Enabler for 5G and Resilient Public Safety Networks. IEEE Communications Magazine, 56(1), pp. 36–42.

Al-Hourani, A., & Gomez, K. (2018). Modeling Cellular-to-UAV Path-Loss for Suburban Environments. IEEE Wireless Communications Letters, 7(1), pp. 82–85.

Amorim, R., Nguyen, H., Mogensen, P., Kovács, I. Z., Wigard, J., & Sørensen, T. B. (2017). Radio Channel Modeling for UAV Communication over Cellular Networks. IEEE Wireless Communications Letters, 6(4), pp. 514–517.

Fotouhi, A., Ding, M., & Hassan, M. (2018). Flying Drone Base Stations for Macro Hotspots. IEEE Access, 6, pp. 19530–19539.

Bithas, P. S., Michailidis, E. T., Nomikos, N., Vouyioukas, D., & Kanatas, A. G. (2019). A survey on machine-learning techniques for UAV-based communications. In Sensors (Switzerland) (Vol. 19, Issue 23, p. 5170). Multidisciplinary Digital Publishing Institute.

Kharchenko, V., Wang, B., Grekhov, A., & Leschenko, A. (2016). Modelling the satellite communication links with orthogonal frequency-division multiplexing. Transport, 31(1), pp. 22–28.

Grekhov, A. M. (2019). Recent Advances in Satellite Aeronautical Communications Modeling. IGI Global.

Grekhov, Andriy, Kondratiuk, V., Ilnytska, S., Vyshnyakova, Y., Kondratiuk, M., & Trykoz, V. (2019). Satellite Traffic Simulation for RPAS Swarms. 2019 IEEE 5th International Conference Actual Problems of Unmanned Aerial Vehicles Developments, APUAVD 2019 - Proceedings, pp. 265–269.

Grekhov, Andrii, Kondratiuk, V., & Ilnitska, S. (2020). RPAS Satellite Communication Channel Based on Long-Term Evolution (LTE) Standard. Transport and Aerospace Engineering, 8(1), pp. 1–14.

A. Grekhov, V. Kondratiuk, S. Ilnytska. “RPAS Communication Channels Based on WCDMA 3GPP Standard”. Aviation, vol. 24, no. 1 (May 2020), pp. 42-49, doi:

S. I. Ilnytska, F. Li, A. Grekhov and V. Kondratiuk. (2020). "Loss Estimation for Network-Connected UAV/RPAS Communications," in IEEE Access, vol. 8, pp. 137702-137710, 2020, doi: 10.1109/ACCESS.2020.3011956.

How to Cite

Grekhov, A., Ilnytska, S., & Kondratiuk, V. (2020). TRAFFIC MODELING IN UAV/RPAS COMMUNICATION CHANNEL. Proceedings of National Aviation University, 85(4), 21–29.




Most read articles by the same author(s)

1 2 > >>