4 papers
Deep Reinforcement Learning and Permissioned Blockchain for Content Caching in Vehicular Edge Computing and Networks
Yueyue Dai, Du Xu, Ke Zhang +2
Vehicular Edge Computing (VEC) is a promising paradigm to enable huge amount of data and multimedia content to be cached in proximity to vehicles. However, high mobility of vehicle…
Edge Intelligence for Energy-efficient Computation Offloading and Resource Allocation in 5G Beyond
Yueyue Dai, Ke Zhang, Sabita Maharjan +1
5G beyond is an end-edge-cloud orchestrated network that can exploit heterogeneous capabilities of the end devices, edge servers, and the cloud and thus has the potential to enable…
Deep Reinforcement Learning for Stochastic Computation Offloading in Digital Twin Networks
Yueyue Dai, Ke Zhang, Sabita Maharjan +1
The rapid development of Industrial Internet of Things (IIoT) requires industrial production towards digitalization to improve network efficiency. Digital Twin is a promising techn…
Joint Offloading and Resource Allocation in Vehicular Edge Computing and Networks
Yueyue Dai, Du Xu, Sabita Maharjan +1
The emergence of computation intensive on-vehicle applications poses a significant challenge to provide the required computation capacity and maintain high performance. Vehicular E…