Drones in B5G/6G Networks as Flying Base Stations

  1. Amponis, Georgios
  2. Lagkas, Thomas
  3. Zevgara, Maria
  4. Katsikas, Georgios
  5. Xirofotos, Thanos
  6. Moscholios, Ioannis
  7. Sarigiannidis, Panagiotis
  8. González Aguilera, Diego 1
  9. Rodríguez-Gonzálvez, Pablo
  1. 1 Universidad de Salamanca
    info

    Universidad de Salamanca

    Salamanca, España

    ROR https://ror.org/02f40zc51

Revista:
Drones

ISSN: 2504-446X

Año de publicación: 2022

Volumen: 6

Número: 2

Páginas: 39

Tipo: Artículo

DOI: 10.3390/DRONES6020039 GOOGLE SCHOLAR lock_openAcceso abierto editor

Otras publicaciones en: Drones

Resumen

Advances in the fields of networking, broadband communications and demand for high-fidelity low-latency last-mile communications have rendered as-efficient-as-possible relaying methods more necessary than ever. This paper investigates the possibility of the utilization of cellular-enabled drones as aerial base stations in next-generation cellular networks. Flying ad hoc networks (FANETs) acting as clusters of deployable relays for the on-demand extension of broadband connectivity constitute a promising scenario in the domain of next-generation high-availability communications. Matters of mobility, handover efficiency, energy availability, optimal positioning and node localization as well as respective multi-objective optimizations are discussed in detail, with their core ideas defining the structure of the work at hand. This paper examines improvements to the existing cellular network core to support novel use-cases and lower the operation costs of diverse ad hoc deployments

Información de financiación

Financiadores

Referencias bibliográficas

  • (2022), IEEE Open J. Antennas Propag., 3, pp. 32, 10.1109/OJAP.2021.3133459
  • (2020), IEEE Veh. Technol. Mag., 15, pp. 103, 10.1109/MVT.2020.3017885
  • (2018), AIP Conf. Proc., 2034, pp. 020006, 10.1063/1.5067349
  • Saarnisaari, H., and de Lima, C.M. (2019, January 9–13). 5G NR over Satellite Links: Evaluation of Synchronization and Random Access Processes. Proceedings of the 2019 21st International Conference on Transparent Optical Networks (ICTON), Angerrs, France.
  • Rekkas, V.P., Sotiroudis, S., Sarigiannidis, P., Karagiannidis, G.K., and Goudos, S.K. (2021, January 5–7). Unsupervised Machine Learning in 6G Networks -State-of-the-art and Future Trends. Proceedings of the 2021 10th International Conference on Modern Circuits and Systems Technologies (MOCAST), Thessaloniki, Greece.
  • (2022), IEEE Commun. Lett., 26, pp. 3, 10.1109/LCOMM.2021.3121071
  • (2022), IEEE Commun. Lett., 26, pp. 8, 10.1109/LCOMM.2021.3121067
  • Chaschatzis, C., Karaiskou, C., Mouratidis, E.G., Karagiannis, E., and Sarigiannidis, P.G. (2022). Detection and Characterization of Stressed Sweet Cherry Tissues Using Machine Learning. Drones, 6.
  • Rekkas, V.P., Sotiroudis, S., Sarigiannidis, P., Wan, S., Karagiannidis, G.K., and Goudos, S.K. (2021). Machine Learning in Beyond 5G/6G Networks—State-of-the-Art and Future Trends. Electronics, 10.
  • Fattore, U., Liebsch, M., and Bernardos, C.J. (2020, January 25–28). UPFlight: An enabler for Avionic MEC in a drone-extended 5G mobile network. Proceedings of the 2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring), Antwerp, Belgium.
  • (2020), IEEE Access, 8, pp. 174792, 10.1109/ACCESS.2020.3019590
  • Selim, M.Y., and Kamal, A.E. (2018, January 9–13). Post-Disaster 4G/5G Network Rehabilitation Using Drones: Solving Battery and Backhaul Issues. Proceedings of the 2018 IEEE Globecom Workshops (GC Wkshps), Abu Dhabi, United Arab Emirates.
  • Livanos, G., Ramnalis, D., Polychronos, V., Balomenou, P., Sarigiannidis, P., Kakamoukas, G., Karamitsou, T., Angelidis, P., and Zervakis, M. (2020, January 20–22). Extraction of Reflectance Maps for Smart Farming Applications Using Unmanned Aerial Vehicles. Proceedings of the 2020 12th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP), Porto, Portugal.
  • (2019), IEEE Commun. Surv. Tutorials, 21, pp. 2334, 10.1109/COMST.2019.2902862
  • (2021), Trans. Emerg. Telecommun. Technol., 32, pp. e4201
  • Saym, M.M., Mahbub, M., and Ahmed, F. (2021, January 5–7). Coverage Maximization by Optimal Positioning and Transmission Planning for UAV-Assisted Wireless Communications. Proceedings of the 2021 International Conference on Science Contemporary Technologies (ICSCT), Dhaka, Bangladesh.
  • Su, Y., LiWang, M., Hosseinalipour, S., Huang, L., and Dai, H. (2021, January 14–23). Optimal Position Planning of UAV Relays in UAV-assisted Vehicular Networks. Proceedings of the ICC 2021—IEEE International Conference on Communications, Virtual.
  • (2014), Wirel. Commun. IEEE Trans., 13, pp. 5396, 10.1109/TWC.2014.2349981
  • Egarguin, N.J.A., Jackson, D.R., Onofrei, D., Leclerc, J., and Becker, A. (2020, January 26–28). Adaptive Beamforming Using Scattering From a Drone Swarm. Proceedings of the 2020 IEEE Texas Symposium on Wireless and Microwave Circuits and Systems (WMCS), Waco, TX, USA.
  • (2020), IEEE Commun. Lett., 24, pp. 1033, 10.1109/LCOMM.2020.2974958
  • Spyridis, Y., Lagkas, T., Sarigiannidis, P., Argyriou, V., Sarigiannidis, A., Eleftherakis, G., and Zhang, J. (2021). Towards 6G IoT: Tracing Mobile Sensor Nodes with Deep Learning Clustering in UAV Networks. Sensors, 21.
  • Becvar, Z., Mach, P., and Nikooroo, M. (2020, January 25–28). Reducing Energy Consumed by Repositioning of Flying Base Stations Serving Mobile Users. Proceedings of the 2020 IEEE Wireless Communications and Networking Conference (WCNC), Seoul, Korea.
  • Boukoberine, M.N., Zhou, Z., and Benbouzid, M. (2019, January 14–17). Power Supply Architectures for Drones—A Review. Proceedings of the IECON 2019—45th Annual Conference of the IEEE Industrial Electronics Society, Lisbon, Portugal.
  • (2020), IEEE Trans. Wirel. Commun., 19, pp. 3257, 10.1109/TWC.2020.2971987
  • Pijnappel, T.R., van den Berg, J.L., Borst, S.C., and Litjens, R. (2021, January 25–28). Drone-Assisted Cellular Networks: Optimal Positioning and Load Management. Proceedings of the 2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring), Helsinki, Finland.
  • (2021), IEEE Internet Things J., 8, pp. 5202, 10.1109/JIOT.2020.3032347
  • Nikooroo, M., and Becvar, Z. (2021). Optimal Positioning of Flying Base Stations and Transmission Power Allocation in NOMA Networks. IEEE Trans. Wirel. Commun., 1.
  • (2019), IEEE Access, 7, pp. 11454, 10.1109/ACCESS.2019.2892564
  • (2020), IEEE Access, 8, pp. 200338, 10.1109/ACCESS.2020.3034881
  • Pliatsios, D., Sarigiannidis, P., Moscholios, I.D., and Tsiakalos, A. (2019, January 8–9). Cost-efficient Remote Radio Head Deployment in 5G Networks Under Minimum Capacity Requirements. Proceedings of the 2019 Panhellenic Conference on Electronics Telecommunications (PACET), Volos, Greece.
  • Feng, C., Liu, B., Guo, Z., Yu, K., Qin, Z., and Choo, K.K.R. (2021). Blockchain-based Cross-domain Authentication for Intelligent 5G-enabled Internet of Drones. IEEE Internet Things J., 1.
  • Odarchenko, R., Usik, P., Volkov, O., Simakhin, V., Gospodarchuk, O., and Burmak, Y. (2019, January 22–24). 5G Networks Cyberincidents Monitoring System for Drone Communications. Proceedings of the 2019 IEEE 5th International Conference Actual Problems of Unmanned Aerial Vehicles Developments (APUAVD), Kiev, Ukraine.
  • (2021), IEEE Trans. Wirel. Commun., 20, pp. 637, 10.1109/TWC.2020.3027624
  • (2017), IEEE Wirel. Commun. Lett., 6, pp. 434, 10.1109/LWC.2017.2700840
  • (2021), J. Syst. Archit., 120, pp. 102281, 10.1016/j.sysarc.2021.102281
  • Nikam, V.B., Arora, A., Lambture, D., Zaveri, J., Shinde, P., and More, M. (2020, January 10–12). Optimal Positioning of Small Cells for Coverage and Cost Efficient 5G Network Deployment: A Smart Simulated Annealing Approach. Proceedings of the 2020 IEEE 3rd 5G World Forum (5GWF), Bangalore, India.
  • Hunukumbure, M., and Tsoukaneri, G. (2019, January 9–13). Cost Analysis for Drone Based 5G eMBB Provision to Emergency Services. Proceedings of the 2019 IEEE Globecom Workshops (GC Wkshps), Waikoloa, HI, USA.
  • (2020), IEEE Commun. Mag., 58, pp. 55, 10.1109/MCOM.001.1900411