Topic: mobile-edge-computing Goto Github
Some thing interesting about mobile-edge-computing
Some thing interesting about mobile-edge-computing
mobile-edge-computing,This project is the implementation of the research paper titled "Dynamic Request Scheduling Optimization in Mobile Edge Computing for IoT Applications"
User: akshat2430
mobile-edge-computing,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"
User: alessiobugetti
mobile-edge-computing,This repository hosts the automatically updated Javadoc documentation for the MEC Virtual Resource Allocation project.
User: alessiobugetti
Home Page: https://github.com/AlessioBugetti/MECVirtualResourceAllocation
mobile-edge-computing,Optimization of Offloading Scheme Algorithm for Large Number of Tasks in Mobile-Edge Computing
User: czgdp1807
Home Page: https://czgdp1807.github.io/2020/04/16/optimal_offloading.html
mobile-edge-computing,Code for paper "Computation Offloading Optimization for UAV-assisted Mobile Edge Computing: A Deep Deterministic Policy Gradient Approach"
User: fangvv
Home Page: https://fangvv.github.io/Homepage/Edgecomp/
mobile-edge-computing,LIQUID EDGE mobile edge inference for mmWave demonstrator in WP6
User: gbaruffa
mobile-edge-computing,Algorithm implementation for my Edge Computing-related papers.
User: hliangzhao
mobile-edge-computing,A QoE-Oriented Computation Offloading Algorithm based on Deep Reinforcement Learning for Mobile Edge Computing
User: imanrht
mobile-edge-computing,QECO: A QoE-Oriented Computation Offloading Algorithm based on Deep Reinforcement Learning for Mobile Edge Computing
User: imanrht
mobile-edge-computing,AdvantEDGE, Mobile Edge Emulation Platform
Organization: interdigitalinc
mobile-edge-computing,Source code for the paper "Joint Class-Balanced Client Selection and Bandwidth Allocation for Cost-Efficient Federated Learning in Mobile Edge Computing Networks".
User: kt4ngw
Home Page: https://github.com/kt4ngw/CBCSBA
mobile-edge-computing,MEC tests in a 5G environment
User: louisroyer
mobile-edge-computing,Lavoro svolto per la tesi di laurea triennale in informatica (Università degli Studi di Milano).
User: mparati31
mobile-edge-computing,Tesi di laurea triennale in informatica (Università degli Studi di Milano).
User: mparati31
mobile-edge-computing,Astro is a service for resource discovery, registry, sharing and access management of geographically distributed edge devices and their resources.
User: mugdhabondre
mobile-edge-computing,free5GC 5GC & srsRAN 5G with ZeroMQ UE / RAN Sample Configuration
User: s5uishida
mobile-edge-computing,free5GC 5GC & UERANSIM UE / RAN Sample Configuration
User: s5uishida
mobile-edge-computing,Open5GS 5GC & UERANSIM UE / RAN Sample Configuration - Framed Routing
User: s5uishida
mobile-edge-computing,Open5GS 5GC & UERANSIM UE / RAN Sample Configuration
User: s5uishida
mobile-edge-computing,Open5GS EPC & OpenAirInterface UE / RAN Sample Configuration
User: s5uishida
mobile-edge-computing,Open5GS EPC & srsRAN 4G with ZeroMQ UE / RAN Sample Configuration
User: s5uishida
mobile-edge-computing,Intersection Management System
User: sonozaki7
Home Page: https://icics.ubc.ca/rogerssmartcitychallenge/
mobile-edge-computing,Edge computing based V2P solution enhancing pedestrian’s smartphone energy efficiency
User: tnwjd7732
mobile-edge-computing,Joint Task Offloading and Radio Resource Management in Stochastic MEC Systems, IEEE Transactions on Communications, 2024
User: trinhudo
Home Page: https://ieeexplore.ieee.org/document/10401241
mobile-edge-computing,This is a repository for my Diploma Thesis on Wireless Communications at Aristotle University of Thessaloniki
User: vasilikizarkadoula
mobile-edge-computing,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.
User: vkumar-ucd
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