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

Multi-UAV Assisted Wireless Powered Mobile Edge Computing: A hybrid optimization approach of combining multi-agent RL techniques (including attention mechanisms) with collaborative and adaptive caching policies for supporting mobile edge computing through UAVs.

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

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

Source code for the paper "Group-based Federated Learning with Cost-efficient Sampling Mechanism in Mobile Edge Computing Networks".

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

This is a repository for my Diploma Thesis on Wireless Communications at Aristotle University of Thessaloniki

Open5GS EPC & OpenAirInterface UE / RAN Sample Configuration

QECO: A QoE-Oriented Computation Offloading Algorithm based on Deep Reinforcement Learning for Mobile Edge Computing

Multi-Agent Deep Reinforcement Learning for Collaborative Computation Offloading in Mobile Edge-Computing

Open5GS 5GC & srsRAN 5G with ZeroMQ UE / RAN Sample Configuration

free5GC 5GC & srsRAN 5G with ZeroMQ UE / RAN Sample Configuration

Deep Reinforcement Learning for Energy-Efficient Computation Offloading in Mobile-Edge Computing

Open5GS EPC & srsRAN_4G with ZeroMQ UE / RAN Sample Configuration