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Reinforcement learning vs rule-based dynamic movement strategies in UAV assisted networks
Vehicular Communications ( IF 5.8 ) Pub Date : 2024-05-08 , DOI: 10.1016/j.vehcom.2024.100788 Adel Mounir Said , Michel Marot , Chérifa Boucetta , Hossam Afifi , Hassine Moungla , Gatien Roujanski
Vehicular Communications ( IF 5.8 ) Pub Date : 2024-05-08 , DOI: 10.1016/j.vehcom.2024.100788 Adel Mounir Said , Michel Marot , Chérifa Boucetta , Hossam Afifi , Hassine Moungla , Gatien Roujanski
Since resource allocation of cellular networks is not dynamic, some cells may experience unplanned high traffic demands due to unexpected events. Unmanned aerial vehicles (UAV) can be used to provide the additional bandwidth required for data offloading.
中文翻译:
无人机辅助网络中的强化学习与基于规则的动态运动策略
由于蜂窝网络的资源分配不是动态的,一些小区可能由于意外事件而经历计划外的高流量需求。无人机 (UAV) 可用于提供数据卸载所需的额外带宽。
更新日期:2024-05-08
中文翻译:
无人机辅助网络中的强化学习与基于规则的动态运动策略
由于蜂窝网络的资源分配不是动态的,一些小区可能由于意外事件而经历计划外的高流量需求。无人机 (UAV) 可用于提供数据卸载所需的额外带宽。