Although the above surveys address important UAV communication problems, they mainly limit their discussions to the methods of enhancing UAV communications or the performance of UAV-assisted systems from a communication perspective rather than the coverage of UAVs’ various roles and the corresponding perf...
As a highly promising technology, UAV-assisted communication showcases three typical application scenarios [15,16,17]. Firstly, UAVs can be deployed as airborne base stations, enabling pervasive wireless coverage within their designated service areas [18,19,20]. Zhang et al. [18] introduced a co...
Trajectory Planning for UAV-Assisted Data Collection in IoT Network: A Double Deep Q Network Approach Unmanned aerial vehicles (UAVs) are becoming increasingly valuable as a new type of mobile communication device and autonomous decision-making device in ma... S Wang,N Qi,H Jiang,... - Electr...
Huang S, Zhang J, Wu Y (2022) Altitude optimization and task allocation of UAV-Assisted MEC communication system. Sensors 22:8061 Liu Y, Xiong K, Ni Q, Fan P, Letaief KB (2020) UAV-Assisted wireless powered cooperative mobile edge computing: joint offloading, CPU control, and trajectory ...
Computation offloading optimization for UAV-assisted mobile edge computing: a deep deterministic policy gradient approach 论文研读 长江大学 计研22级-第十三小组 :苏俊杰,李纯杰,刘洋,徐福源 原文链接:link.springer.com/artic 代码链接 :UAV-DDPG/ddpg_algo.py at main · fangvv/UAV-DDPG · GitHub 0 摘...
Athukoralage, D.; Guvenc, I.; Saad, W.; Bennis, M.: Regret based learning for UAV assisted LTE-U/WIFI public safety networks. In: 2016 IEEE Global Communications Conference (GLOBECOM), pp. 1–7 (2016)
According to the synergy effect, our hybrid approach can provide a fair-efficient solution in the UAV-TB-assisted battlefield network infrastructure. Finally, extensive simulations are conducted, and the results demonstrate the superiority of our proposed scheme over the exist...
effective approach to UAV energy management and task execution. The implications of the GREENSKY model extend beyond improved service reliability. By effectively leveraging both static and mobile charging stations, the model facilitates a smarter and more robust framework for future aerial communication ...
quadrotors are more efficient in agriculture due to their maneuverability and available visual sensors; nevertheless, carrying a payload becomes challenging (del Cerro et al.2021). Another application for UAVs is in the Internet of Things, where communication extensions or computer power can be provide...
This is the code accompanying the paper: "Energy-Efficient UAV Control for Effective and Fair Communication Coverage: A Deep Reinforcement Learning Approach", published in JSAC. 📄 Description Unmanned aerial vehicles (UAVs) can be used to serve as aerial base stations to enhance both the coverag...