Code for paper "Computation Offloading Optimization for UAV-assisted Mobile Edge Computing: A Deep Deterministic Policy Gradient Approach"

Algorithm implementation for my Edge Computing-related papers.

Optimization of Offloading Scheme Algorithm for Large Number of Tasks in Mobile-Edge Computing

A QoE-Oriented Computation Offloading Algorithm based on Deep Reinforcement Learning for 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

Source code for the paper "Joint Class-Balanced Client Selection and Bandwidth Allocation for Cost-Efficient Federated Learning in Mobile Edge Computing Networks".

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

Edge computing based V2P solution enhancing pedestrian’s smartphone energy efficiency

MEC tests in a 5G environment

LIQUID EDGE mobile edge inference for mmWave demonstrator in WP6