42 citations · 52 across the 9 of their papers we have counts for
Showing 2020Show all
3 papers · 1 filter
cs.NI2020
LiveMap: Real-Time Dynamic Map in Automotive Edge Computing
Qiang Liu, Tao Han, Jiang +2
Autonomous driving needs various line-of-sight sensors to perceive surroundings that could be impaired under diverse environment uncertainties such as visual occlusion and extreme…
eess.SP2020★ 2 cited
DeepSlicing: Deep Reinforcement Learning Assisted Resource Allocation for Network Slicing
Qiang Liu, Tao Han, Ning Zhang +1
Network slicing enables multiple virtual networks run on the same physical infrastructure to support various use cases in 5G and beyond. These use cases, however, have very diverse…
cs.NI2020★ 4 cited
EdgeSlice: Slicing Wireless Edge Computing Network with Decentralized Deep Reinforcement Learning
Qiang Liu, Tao Han, Ephraim Moges
5G and edge computing will serve various emerging use cases that have diverse requirements of multiple resources, e.g., radio, transportation, and computing. Network slicing is a p…