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    ARTICLE

    Reinforcement Learning-Based Optimization for Drone Mobility in 5G and Beyond Ultra-Dense Networks

    Jawad Tanveer1, Amir Haider2, Rashid Ali2, Ajung Kim1,*

    CMC-Computers, Materials & Continua, Vol.68, No.3, pp. 3807-3823, 2021, DOI:10.32604/cmc.2021.016087

    Abstract Drone applications in 5th generation (5G) networks mainly focus on services and use cases such as providing connectivity during crowded events, human-instigated disasters, unmanned aerial vehicle traffic management, internet of things in the sky, and situation awareness. 4G and 5G cellular networks face various challenges to ensure dynamic control and safe mobility of the drone when it is tasked with delivering these services. The drone can fly in three-dimensional space. The drone connectivity can suffer from increased handover cost due to several reasons, including variations in the received signal strength indicator, co-channel interference offered to the drone by neighboring cells,… More >

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