SpringerLink
Log in

Development of System for Registration and Monitoring of UAVs Using 5G Cellular Networks

  • Chapter
  • First Online:
Data-Centric Business and Applications

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 69))

  • 277 Accesses

Abstract

The uncontrolled distribution and usage of unmanned aerial vehicles (UAVs) in the world, in combination with the risks associated with aircraft, other property, people’s lives, privacy, violation of secure territories, and overall security, require the creation of a UAV registration and monitoring system. This work aimed to analyze the current state of the UAV registry in Ukraine, to identify the main weak points, and to develop an architecture for the UAV registration and monitoring system. The following tasks were solved to achieve the goal: analysis of the current state of the UAV registry in Ukraine; identifying the main weaknesses of UAV registration and monitoring in Ukraine and determining the directions for their solutions; development of a UAV registration and monitoring method; development of a model for the registration and monitoring of UAVs using 5G cellular networks; development of software for UAVs’ registration and monitoring. As a result of the work, a system was developed that allows registering UAVs when they are turned on and monitoring the current coordinates of the UAVs which are using this system.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
EUR 29.95
Price includes VAT (Germany)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
EUR 106.99
Price includes VAT (Germany)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
EUR 139.09
Price includes VAT (Germany)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free ship** worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Nalty BC (ed) (1997) Winged shield, winged sword: a history of the USAF. Air Force History and Museums Program, United States Air Force, Washington, DC

    Google Scholar 

  2. Fahlstrom P, Gleason T, Introduction to UAV systems, 4th edn, p 287

    Google Scholar 

  3. 3 reasons why China is the global drones leader. https://www.weforum.org/agenda/2018/09/china-drones-technology-leader/

  4. The Drone Market 2019–2024: 5 things you need to know. https://www.droneii.com/the-drone-market-2019-2024-5-things-you-need-to-know

  5. The drone market. https://www.commercialuavnews.com/infrastructure/teal-group-analyzes-and-predicts-drone-market

  6. What Are Drones? https://drones.cnas.org/reports/what-are-drones/

  7. Anis M, Gadallah Y, Elhennawy H (2016)Machine-to-machine communications over the internet of things: private wi-fi access prospects. In: 2016 Wireless days (WD), Toulouse, pp 1–3

    Google Scholar 

  8. ICAO 10019 Remote Manned Aviation Systems Manual: https://aeronet.aero/biblioteka/2016_07_06_10019_rukovodstvo_po_distantsionno_pilotiruemym_aviatsionnym_sistemam_dpas

  9. “Acronyms and Glossary of Key Terms,” Appendix E, Unmanned Aircraft Systems (UAS) at Airports: a primer. National Academies of Sciences, Engineering, and Medicine, 2015. The National Academies Press, Washington, DC, pp 70–81

    Google Scholar 

  10. The Legal Framework for RPAS/UAS Suitability of the Chicago Convention and its Annexes. https://www.icao.int/Meetings/RPAS/RPASSymposiumPresentation/Day%202%20Workshop%2010%20Legal%20Christopher%20Petras%20-%20The%20Legal%20Framework%20for%20RPAS_UAS.pdf

  11. Manual on Remotely Piloted Aircraft Systems (RPAS) (2015) ICAO Doc 10019 1st edn

    Google Scholar 

  12. ICAO Cir 328, Unmanned Aircraft Systems (UAS)

    Google Scholar 

  13. Zeng Y, Wu Q, Zhang R (2019) Accessing from the sky: a tutorial on UAV communications for 5G and beyond. Proc IEEE 107(12):2327–2375

    Article  Google Scholar 

  14. Flight space organization https://bpla.ua/praktichni-novini-vikoristannja-bpla/organizacija-povitrjanogo-prostoru/

  15. Zeng Y, Wu Q, Zhang R (2019) Accessing from the sky: a tutorial on UAV communications for 5G and beyond. Proc. IEEE 107(12):2327–2375

    Article  Google Scholar 

  16. Fotouhi A, Qiang H, Ding M, Hassan M, Giordano LG, Garcia-Rodriguez A, Yuan J (2019) Survey on UAV cellular communications: Practical aspects, standardization advancements, regulation, and security challenges. IEEE Commun Surv Tutor pp 1–28

    Google Scholar 

  17. Mozaffari M, Saad W, Bennis M, Nam YH, Debbah M (2018) A tutorial on UAVs for wireless networks: applications. challenges, and open problems. Ar**v e-prints

    Google Scholar 

  18. Hayat S, Yanmaz E, Muzaffar R (2016) Survey on unmanned aerial vehicle networks for civil applications: A communications viewpoint. IEEE Commun Surv Tutor 18(4):2624–2661

    Article  Google Scholar 

  19. Zeng Y, Zhang R, Lim TJ (2016) Wireless communications with unmanned aerial vehicles: Opportunities and challenges. IEEE Commun Mag 54(5):36–42

    Article  Google Scholar 

  20. NTT DOCOMO Inc., Ericsson (2017) New SID on enhanced support for aerial vehicles. 3GPP RP-170779 RAN#75

    Google Scholar 

  21. 3GPP Technical Document RP 181644 (2018) Summary for WI enhanced LTE support for aerial vehicles

    Google Scholar 

  22. Gupta L, Jain R, Vaszkun G (2015) Survey of important issues in UAV communication networks. IEEE Commun Surv Tutor 18(2):1123–1152

    Article  Google Scholar 

  23. Odarchenko R, Aguiar R, Altman B, Sulema Y (2018) Multilink approach for the content delivery in 5G networks. In: 5th International scientific-practical conference problems of infocommunications science and technology, PIC S and T 2018—Conference proceedings, pp 140–144

    Google Scholar 

  24. Odarchenko R, Gimenez J, Sulema Y, Altman B, Petersen S (2019) Multilink solution for 5G: efficiency experimental studies. In: 2019 3rd International conference on advanced information and communications technologies, AICT 2019—Proceedings 8847862, pp 336–339

    Google Scholar 

  25. South Korea reaches 2 million 5G subscribers in four months. https://www.rcrwireless.com/20190808/5g/south-korea-reaches-2-million-5g-subscribers-four-months

  26. SmarT mObility, media and e-health for toURists and citizenS https://5g-ppp.eu/5g-tours/

  27. 5G for Drone-based Vertical Applications. https://5g-ppp.eu/5gdrones/

  28. Geraci G, Garcia-Rodriguez A, Galati Giordano L, Lopez-Perez D, Bjoernson E (2018) Supporting UAV cellular communications through massive MIMO. In: 2018 IEEE international conference on communications workshops (ICC workshops), pp 1–6

    Google Scholar 

  29. Asadi A, Wang A, Mancuso V (2014) A survey on device-to-device communication in cellular networks. IEEE Commun Surv Tutor 16(4):1801–1819

    Article  Google Scholar 

  30. 3GPP TS 23.501, System architecture for the 5G system

    Google Scholar 

  31. 5G-Xcast WP4 D4.1, Mobile core network

    Google Scholar 

  32. 5G-Xcast WP4 D4.2, Converged core network

    Google Scholar 

  33. 3GPP TS 38.413, NG-RAN; NG application protocol (NGAP)

    Google Scholar 

  34. LoRaWAN—Innovative IoT network. https://www.satellite31.ru/?page_id=3528

  35. Zhao J, Gao F, Ding G, Zhang T, Jia W, Nallanathan A (2018) Integrating communications and control for uav systems: opportunities and challenges. IEEE Access 6:67519–67527

    Article  Google Scholar 

  36. Huang Y, Mei W, Xu J, Qiu L, Zhang R (2019) Cognitive UAV communication via joint maneuver and power control. IEEE Trans Commun 67(11):7872–7888

    Article  Google Scholar 

  37. Li P, Jie Xu (2020) Fundamental rate limits of UAV-enabled multiple access channel with trajectory optimization. IEEE Trans Wirel Commun 19(1):458–474

    Article  MathSciNet  Google Scholar 

  38. Gao Y, Tang H, Li B, Yuan X (2020) Robust trajectory and power control for cognitive UAV secrecy communication. IEEE Access 8:49338–49352

    Article  Google Scholar 

  39. Hernantes J, Gallardo G, Serrano N (2015) IT infrastructure-monitoring tools. IEEE Softw 32(4):88–93

    Google Scholar 

  40. ETSI GS MEC 003, Mobile edge computing (MEC); Framework and reference architecture

    Google Scholar 

  41. Unmanned Aerial Vehicle (UAV) Market, https://www.marketsandmarkets.com/Market-Reports/unmanned-aerial-vehicles-uav-market-662.html

  42. Ageyev D et al (2018) Classification of existing virtualization methods used in telecommunication networks. In: Proceedings of the 2018 IEEE 9th international conference on dependable systems, services and technologies (DESSERT), pp 83–86

    Google Scholar 

  43. Barabash OV, Dakhno NB, Shevchenko HV, Majsak TV (2018) Dynamic models of decision support systems for controlling UAV by two-step variational-gradient method. In: 2017 IEEE 4th international conference on actual problems of unmanned aerial vehicles developments, APUAVD 2017—Proceedings, Kyiv, Ukraine, IEEE, pp 108–111. https://doi.org/https://doi.org/10.1109/APUAVD.2017.8308787

  44. Barabash O, Dakhno N, Shevchenko H, Sobchuk V (2018) Integro-differential models of decision support systems for controlling unmanned aerial vehicles on the basis of modified gradient method. In: 2018 IEEE 5th international conference on methods and systems of navigation and motion control, MSNMC 2018—Proceedings, Kyiv, Ukraine, IEEE, pp 187–190. https://doi.org/https://doi.org/10.1109/MSNMC.2018.8576310

  45. Radivilova T, Kirichenko L, Ageyev D, Bulakh V (2019) Classification methods of machine learning to detect DDoS attacks. In: 2019 10th IEEE international conference on intelligent data acquisition and advanced computing systems: technology and applications (IDAACS), Metz, France. IEEE, pp 207–210. https://doi.org/https://doi.org/10.1109/IDAACS.2019.8924406

  46. Kryvinska N (2008) An analytical approach for the modeling of real-time services over IP network. Math Comput Simul 79(4):980–990. https://doi.org/10.1016/j.matcom.2008.02.016

    Article  MathSciNet  MATH  Google Scholar 

  47. Kryvinska N, Zinterhof P, van Thanh D (2007) New-emerging service-support model for converged multi-service network and its practical validation. In: First international conference on complex, intelligent and software intensive systems (CISIS’07). IEEE, pp 100–110. https://doi.org/10.1109/CISIS.2007.40

Download references

Acknowledgements

This work was supported in part by the European Commission under the 5G-TOURS: SmarT mObility, media and e-health for toURists and citizens (H2020-ICT-2018-2020 call, grant number 856950). The views expressed in this contribution are those of the authors and do not necessarily represent the project.

Author information

Authors and Affiliations

  1. National Aviation University, Kyiv, Ukraine

    Roman Odarchenko & Yaroslav Horban

  2. Bundleslab KFT, Budapest, Hungary

    Roman Odarchenko

  3. International Research and Training Center for Information Technologies and Systems of the National Academy of Sciences of Ukraine, Kyiv, Ukraine

    Oleksandr Volkov, Mykola Komar & Dmytro Voloshenyuk

Authors
  1. Roman Odarchenko
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Yaroslav Horban
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Oleksandr Volkov
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Mykola Komar
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Dmytro Voloshenyuk
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Roman Odarchenko .

Editor information

Editors and Affiliations

  1. Department of Infocommunication Engineering V. V. Popovsky, Faculty of Infocommunication, Kharkiv National University of Radio Electronics, Kharkiv, Ukraine

    Dmytro Ageyev

  2. Department of Infocommunication Engineering V. V. Popovsky, Faculty of Infocommunication, Kharkiv National University of Radio Electronics, Kharkiv, Ukraine

    Tamara Radivilova

  3. Department of e-Business, Faculty of Business, Economics and Statistics, University of Vienna, Vienna, Austria

    Natalia Kryvinska

Rights and permissions

Reprints and permissions

Copyright information

© 2021 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Odarchenko, R., Horban, Y., Volkov, O., Komar, M., Voloshenyuk, D. (2021). Development of System for Registration and Monitoring of UAVs Using 5G Cellular Networks. In: Ageyev, D., Radivilova, T., Kryvinska, N. (eds) Data-Centric Business and Applications. Lecture Notes on Data Engineering and Communications Technologies, vol 69. Springer, Cham. https://doi.org/10.1007/978-3-030-71892-3_8

Download citation

Publish with us

Policies and ethics

Search

Navigation