There are 11 repositories under mobile-edge-computing topic.
Algorithm implementation for my Edge Computing-related papers.
Optimization of Offloading Scheme Algorithm for Large Number of Tasks in Mobile-Edge Computing
This project is the implementation of the research paper titled "Dynamic Request Scheduling Optimization in Mobile Edge Computing for IoT Applications"
Open5GS 5GC & UERANSIM UE / RAN Sample Configuration
AdvantEDGE, Mobile Edge Emulation Platform
free5GC 5GC & UERANSIM UE / RAN Sample Configuration
This is a repository for my Diploma Thesis on Wireless Communications at Aristotle University of Thessaloniki
Open5GS EPC & OpenAirInterface UE / RAN Sample Configuration
Simulation code for "A max-min task offloading algorithm for mobile edge computing using non-orthogonal multiple access," by V. Kumar, M. F. Hanif, M. Juntti and L. -N. Tran, published in IEEE Transactions on Vehicular Technology, vol. 72, no. 9, pp. 12332-12337, Sept. 2023, doi: 10.1109/TVT.2023.3263791.
Joint Task Offloading and Radio Resource Management in Stochastic MEC Systems, IEEE Transactions on Communications, 2024
QECO: A QoE-Oriented Computation Offloading Algorithm based on Deep Reinforcement Learning for Mobile Edge Computing
free5GC 5GC & srsRAN 5G with ZeroMQ UE / RAN Sample Configuration
Open5GS 5GC & srsRAN 5G with ZeroMQ UE / RAN Sample Configuration
Open5GS EPC & srsRAN 4G with ZeroMQ UE / RAN Sample Configuration
MEC tests in a 5G environment
Edge computing based V2P solution enhancing pedestrian’s smartphone energy efficiency
LIQUID EDGE mobile edge inference for mmWave demonstrator in WP6
Open5GS 5GC & UERANSIM UE / RAN Sample Configuration - Framed Routing
This repository hosts the automatically updated Javadoc documentation for the MEC Virtual Resource Allocation project.
Astro is a service for resource discovery, registry, sharing and access management of geographically distributed edge devices and their resources.
A hypergraph matching algorithm for efficient virtual resource allocation in mobile edge computing, based on the approach proposed in the paper L. Zhang, H. Zhang, L. Yu, H. Xu, L. Song and Z. Han, "Virtual Resource Allocation for Mobile Edge Computing: A Hypergraph Matching Approach"
Lavoro svolto per la tesi di laurea triennale in informatica (Università degli Studi di Milano).
简单易用的开源人脸识别库,已完成在本地,树莓派和服务器上的部署。