Unmanned air vehicles (UAVs) has shown great potential to enable numerous applications ranging from industry verticals to public safety communications. However, various challenges also arises with its integration into the existing terrestrial networks such as efficient UAV positioning, power allocation, trajectory design, and resource allocation. The existing conventional optimization solutions are not intelligent enough to overcome those challenges. Thus, real-time optimization and machine learning assisted solutions, and emerging technologies are required to overcome those challenges. To address those challenges, we summarized key technologies and research directions for UAV deployment at the edge or in the cell center, the power allocation and localization schemes, and the federated learning solutions.


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    Titel :

    Intelligent Unmanned Air Vehicles for Public Safety Networks: Emerging Technologies and Research Directions


    Weitere Titelangaben:

    Unmanned Syst. Tech.


    Beteiligte:
    Kaleem, Zeeshan (Herausgeber:in) / Ahmad, Ishtiaq (Herausgeber:in) / Duong, Trung Quang (Herausgeber:in) / Kaleem, Zeeshan (Autor:in) / Ahmad, Ishtiaq (Autor:in) / Duong, Trung Q. (Autor:in)


    Erscheinungsdatum :

    2022-05-07


    Format / Umfang :

    17 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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