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ai-ml-application-in-5g-6g-systems

Machine Learning Methods in 5G systems

charllib

deepslicing

Source Codes for: DeepSlicing: Deep Reinforcement Learning Assisted Resource Allocation for Network Slicing

double-deep-q-learning-for-resource-allocation

Reproduce results of the research article "Deep Reinforcement Learning Based Resource Allocation for V2V Communications"

dream

Deep reinforcement learning for REsource Allocation in streaM processing

echasse

Config files for my GitHub profile.

femtocell-simulator

Simulation of multiple femtocell network, modeling interference and resource allocations

itu-challenge-ml5g-phy-rl

Scripts for the "ITU-ML5G-PS-006: ML5G-PHY-Reinforcement learning: scheduling and resource allocation"

madara

Multi-Agent Distributed Adaptive Resource Allocation

online-flexible-resource-allocation

Flexible resource allocation for edge cloud computing with reinforcement learning

power-control

Game Theory Based Distributed Resource Allocation in Communication Networks

ra5g_ns3

Resource Allocation for LTE/5G networks with NS3

resource-allocation-module

Implementation of PSO, GA, DE, PSO_TVAC, APSO

resource-allocation-using-deeprl

Deep Reinforcement Learning Based Dynamic Resource Allocation in 5G Ultra-Dense Networks

resource_allocation_using_machine_learning

A resource allocation application using machine learning technique assisted by cloud computing implemented in Python

resourceallocationreinforcementlearning

intial version

resources-allocation-in-the-edge-computing-environment-using-reinforcement-learning

Simulated the scenario between edge servers and users with a clear graphic interface. Also, implemented the continuous control with Deep Deterministic Policy Gradient (DDPG) to determine the resources allocation (offload targets, computational resources, migration bandwidth) in the edge servers

sdn-nfv-papers

This is a paper list about Resource Allocation in Network Functions Virtualization (NFV) and Software-Defined Networking (SDN).

uara

J. Liu, X. Tao and J. Lu, "Mobility-Aware Centralized Reinforcement Learning for Dynamic Resource Allocation in HetNets," accepted by IEEE GLOBECOM 2019.

uav-deep-q

This is the source code using deep Q learning for calculate UAV resource allocation

urllc-awared-resource-allocation-for-heterogeneous-vehicular-edge-computing