Ahmadi, HamedHamedAhmadiFontanesi, GianlucaGianlucaFontanesiKatzis, KonstantinosKonstantinosKatzisShakir, Muhammad ZeeshanMuhammad ZeeshanShakirZhu, AndingAndingZhu2019-07-122019-07-122018 IEEE2018-09-1297815386600962166-9570http://hdl.handle.net/10197/108982018 IEEE: IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, Bologna, Italy 9-12 September 2018Networked flying platforms can be used to provide cellular coverage and capacity. Given that 5G and beyond networks are expected to be always available and highly reliable, resilience and reliability of these networks must be investigated. This paper introduces the specific features of airborne networks that influence their resilience. We then discuss how machine learning and blockchain technologies can enhance the resilience of networked flying platforms.en© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.Networked flying platformsResilienceSelf-organizing networksMachine learningBlockchainConference Publication2018-September1155115610.1109/PIMRC.2018.85809442019-07-10https://creativecommons.org/licenses/by-nc-nd/3.0/ie/