A QoE-Oriented Computation Offloading Algorithm based on Deep Reinforcement Learning (DRL) for Mobile Edge Computing (MEC) | This algorithm captures the dynamics of the MEC environment by integrating ...
This repository contains the Python code for reproducing the decentralized QECO (QoE-Oriented Computation Offloading) algorithm, designed for Mobile Edge Computing (MEC) systems. I. Rahmati, H.
Global mobile edge computing market will reach $6,100.4 million by 2030, growing by 32.6% annually over 2020-2030 despite the impact of COVID-19 pandemic. The market is driven by the increasing ...
The market is clearly trying to recover. Despite this, it means there will be a direct impact on the ICT industries. resulting in a large market for Europe Mobile Edge Computing (MEC) Market.
Delivering real-time insight at the edge Edge computing is a subset of cloud computing that allows mobile devices to process data at the ‘edge’ of the network, with or without an internet connection.
Mobile phones now serve as essential tools for communications, financial transactions, photography, and media consumption, making their security increasingly critical. The advisory represents part of ...