Abstract: Mobile-edge computing casts the computation-intensive and delay-sensitive applications of mobile devices onto network edges. Task offloading incurs extra communication latency and energy ...

In the Internet of Things (IoT), numerous devices and sensors are deployed to collect data sets. Although some IoT devices can process data locally, most devices may have limited power and ...

Python code to reproduce our works on Deep Learning-based Offloading for Mobile-Edge Computing Networks [1], where multiple parallel Deep Neural Networks (DNNs) are used to efficiently generate ...

This is the source code for our paper: Computation Offloading Optimization for UAV-assisted Mobile Edge Computing: A Deep Deterministic Policy Gradient Approach.A brief introduction of this work is as ...

REDWOOD CITY, Calif., Feb. 22, 2018 (GLOBE NEWSWIRE) -- By 2021, mobile video will make up 78% of all mobile data traffic worldwide according to ...