… is expected to adopt intelligent scheduling with self-… the edge computing environment. To
this end, this paper provides a review on intelligent approaches in MEC computation offloading, …

… an edge intelligence empowered IoV framework, which utilizes an imitation learning-enabled
solution for optimal computation offloading … a hierarchical architecture for edge intelligence …

… we envision as critical drivers for the flourish of edge computing, such as real-time video
analytics, smart “things” (eg, smart city and smart home), vehicle applications, and cloud gaming…

… of mobile users, offloading strategy of simple edge computing is no longer applicable …
intelligent computation offloading based MEC architecture in combination with artificial intelligence …

… burden can be greatly eased via MEC offloading. However, existing task offloading schemes
… Toward this end, we design an intelligent task offloading scheme based on deep Q learning…

… intelligent computing. Introducing intelligence computation, MEC is expected to make the
edge … -adaptation, thereby forming an augmented intelligence (AI) decision making system in …

… We designed a user-centric computational offloading model to minimize the weighted …
edge computing server in the area, and multiple users hold smart device and initiate task offload …

… a literature review on computation offloading in EC systems … current approaches for computing
offloading coordination We … AI for offloading, in particular, in the use case of offloading in …

… on edge-cloud collaboration for computation offloading in section 3. We evaluate the work on
decision making of computation offloading in … in the computation offloading on smart mobile …

… computation offloading method In the second section, the smart edge computing offloading
… In this section, we mainly encode the smart edge computing offloading model, then optimize …