7 citations · 12 across the 2 of their papers we have counts for
2 papers
cs.LG2022★ 7 cited
UAV Base Station Trajectory Optimization Based on Reinforcement Learning in Post-disaster Search and Rescue Operations
Shiye Zhao, Kaoru Ota, Mianxiong Dong
Because of disaster, terrestrial base stations (TBS) would be partly crashed. Some user equipments (UE) would be unserved. Deploying unmanned aerial vehicles (UAV) as aerial base s…
cs.LG2022★ 5 cited
Deep Reinforcement Learning Based Multi-Access Edge Computing Schedule for Internet of Vehicle
Xiaoyu Dai, Kaoru Ota, Mianxiong Dong
As intelligent transportation systems been implemented broadly and unmanned arial vehicles (UAVs) can assist terrestrial base stations acting as multi-access edge computing (MEC) t…