Art
J-GLOBAL ID:202202261317945279   Reference number:22A2282203

Drones in B5G/6G Networks as Flying Base Stations

飛行基地局としてのB5G/6Gネットワークにおけるドローン【JST・京大機械翻訳】
Author (8):
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Volume:Issue:Page: 39  Publication year: 2022 
JST Material Number: U7176A  ISSN: 2504-446X  Document type: Article
Article type: 原著論文  Country of issue: Switzerland (CHE)  Language: ENGLISH (EN)
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Advances in the fields of netw...
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Mobile communication 
Reference (37):
  • Pliatsios, D.; Goudos, S.K.; Lagkas, T.; Argyriou, V.; Boulogeorgos, A.A.A.; Sarigiannidis, P. Drone-Base-Station for Next-Generation Internet-of-Things: A Comparison of Swarm Intelligence Approaches. IEEE Open J. Antennas Propag. 2022, 3, 32-47.
  • Kishk, M.; Bader, A.; Alouini, M.S. Aerial Base Station Deployment in 6G Cellular Networks Using Tethered Drones: The Mobility and Endurance Tradeoff. IEEE Veh. Technol. Mag. 2020, 15, 103-111.
  • Kaur, S.; Randhawa, S. Google LOON: Balloon-powered internet for everyone. AIP Conf. Proc. 2018, 2034, 020006.
  • Saarnisaari, H.; de Lima, C.M. 5G NR over Satellite Links: Evaluation of Synchronization and Random Access Processes. In Proceedings of the 2019 21st International Conference on Transparent Optical Networks (ICTON), Angerrs, France, 9-13 July 2019; pp. 1-4.
  • Rekkas, V.P.; Sotiroudis, S.; Sarigiannidis, P.; Karagiannidis, G.K.; Goudos, S.K. Unsupervised Machine Learning in 6G Networks -State-of-the-art and Future Trends. In Proceedings of the 2021 10th International Conference on Modern Circuits and Systems Technologies (MOCAST), Thessaloniki, Greece, 5-7 July 2021; pp. 1-4.
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