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QoE Optimization for Live Video Streaming in UAV-to-UAV Communications via Deep Reinforcement Learning.

, , , , and . IEEE Trans. Veh. Technol., 71 (5): 5358-5370 (2022)

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Interference Management for Cellular-Connected UAVs: A Deep Reinforcement Learning Approach., , and . IEEE Trans. Wireless Communications, 18 (4): 2125-2140 (2019)QoE Optimization for Live Video Streaming in UAV-to-UAV Communications via Deep Reinforcement Learning., , , , and . IEEE Trans. Veh. Technol., 71 (5): 5358-5370 (2022)A chance constrained approach for LTE cellular network planning under uncertainty., , , and . Computer Communications, (2016)On LTE-WiFi coexistence and inter-operator spectrum sharing in unlicensed bands: altruism, cooperation and fairness., , and . MobiHoc, page 111-120. ACM, (2016)Machine Learning for Wireless Networks with Artificial Intelligence: A Tutorial on Neural Networks., , , , and . CoRR, (2017)Robust Deep Reinforcement Learning for Security and Safety in Autonomous Vehicle Systems., , , and . ITSC, page 307-312. IEEE, (2018)When Machine Learning Meets Wireless Cellular Networks: Deployment, Challenges, and Applications., , and . CoRR, (2019)Machine Learning for Wireless Connectivity and Security of Cellular-Connected UAVs., , , and . IEEE Wireless Commun., 26 (1): 28-35 (2019)Proactive Resource Management in LTE-U Systems: A Deep Learning Perspective., , and . CoRR, (2017)Artificial Neural Networks-Based Machine Learning for Wireless Networks: A Tutorial., , , , and . IEEE Communications Surveys and Tutorials, 21 (4): 3039-3071 (2019)