Survey of important issues in UAV communication networks, IEEE Communications Surveys & Tutorials, vol.18, issue.2, pp.1123-1152, 2015. ,
Accessing from the sky: A tutorial on UAV communications for 5G and beyond, 2019. ,
, Tutorial on UAV: A blue sky view on wireless communication, 2019.
Overview of millimeter wave communications for fifthgeneration (5G) wireless networks-with a focus on propagation models, IEEE Transactions on Antennas and Propagation, vol.65, issue.12, pp.6213-6230, 2017. ,
Survey on uav cellular communications: Practical aspects, standardization advancements, regulation, and security challenges, IEEE Communications Surveys & Tutorials, vol.21, issue.4, pp.3417-3442, 2019. ,
Efficient 3d aerial base station placement considering users mobility by reinforcement learning, 2018 IEEE Wireless Communications and Networking Conference (WCNC), pp.1-6, 2018. ,
Optimal positioning of flying relays for wireless networks: A los map approach, 2017 IEEE international conference on communications (ICC), pp.1-6, 2017. ,
Optimal UAV base station trajectories using flow-level models for reinforcement learning, IEEE Transactions on Cognitive Communications and Networking, vol.5, issue.4, pp.1101-1112, 2019. ,
3-D placement of an unmanned aerial vehicle base station for maximum coverage of users with different qos requirements, IEEE Wireless Communications Letters, vol.7, issue.1, pp.38-41, 2017. ,
,
Applications of deep reinforcement learning in communications and networking: A survey, IEEE Communications Surveys & Tutorials, vol.21, issue.4, pp.3133-3174, 2019. ,
A brief survey of deep reinforcement learning, IEEE SIGNAL, 2017. ,
Energy-efficient UAV control for effective and fair communication coverage: A deep reinforcement learning approach, IEEE Journal on Selected Areas in Communications, vol.36, issue.9, pp.2059-2070, 2018. ,
Fair end-to-end window-based congestion control, IEEE/ACM Transactions on networking, vol.8, issue.5, pp.556-567, 2000. ,
Placement optimization of uav-mounted mobile base stations, IEEE Communications Letters, vol.21, issue.3, pp.604-607, 2016. ,
Efficient deployment of multiple unmanned aerial vehicles for optimal wireless coverage, IEEE Communications Letters, vol.20, issue.8, pp.1647-1650, 2016. ,
URL : https://hal.archives-ouvertes.fr/hal-01777917
A survey on machine-learning techniques for UAV-based communications, Sensors, vol.19, issue.23, p.5170, 2019. ,
Harnessing machine learning for next-generation intelligent transportation systems: A survey, 2019. ,
URL : https://hal.archives-ouvertes.fr/hal-02284820
Leveraging UAVs for coverage in cell-free vehicular networks: A deep reinforcement learning approach, IEEE Transactions on Mobile Computing, 2020. ,
Caching in the sky: Proactive deployment of cache-enabled unmanned aerial vehicles for optimized quality-of-experience, IEEE Journal on Selected Areas in Communications, vol.35, issue.5, pp.1046-1061, 2017. ,
URL : https://hal.archives-ouvertes.fr/hal-01781981
Wireless communications, 2005. ,
Optimal lap altitude for maximum coverage, IEEE Wireless Communications Letters, vol.3, issue.6, pp.569-572, 2014. ,
Energy minimization for wireless communication with rotary-wing UAV, IEEE Transactions on Wireless Communications, vol.18, issue.4, pp.2329-2345, 2019. ,
, Continuous control with deep reinforcement learning, 2015.
CRAWDAD dataset coppe-ufrj/riobuses (v, 2018. ,