Pinned Repositories
-ML-Network-Aware-Bitrate-Prediction
Data-Analytics
Design-and-Simulation-of-CMOS-OTA-C-Filters
Course Assignment(Master's Degree)
Double-Deep-Q-Learning-for-Resource-Allocation
Reproduce results of the research article "Deep Reinforcement Learning Based Resource Allocation for V2V Communications"
InformationTheory
Lab Assignments (MATLAB)
Matlab-Simulation-for-Linear-Transceiver-Design-in-MIMO-Communication-Link
Course Assignment
ML-Aided-NR-V2X-QoS-Predictions
Machine Learning Aided NR-V2X Quality of Service Predictions
MSc-Project
COMMUNICATION NETWORKS TRAFFIC PREDICTION USING MACHINE LEARNING
ns3-gym
ns3-gym - The Playground for Reinforcement Learning in Networking Research
ns3-sumo-coupling
A ns3 module for bidirectional coupling with SUMO
aslirey's Repositories
aslirey/MSc-Project
COMMUNICATION NETWORKS TRAFFIC PREDICTION USING MACHINE LEARNING
aslirey/ML-Aided-NR-V2X-QoS-Predictions
Machine Learning Aided NR-V2X Quality of Service Predictions
aslirey/Matlab-Simulation-for-Linear-Transceiver-Design-in-MIMO-Communication-Link
Course Assignment
aslirey/-ML-Network-Aware-Bitrate-Prediction
aslirey/Data-Analytics
aslirey/Design-and-Simulation-of-CMOS-OTA-C-Filters
Course Assignment(Master's Degree)
aslirey/Double-Deep-Q-Learning-for-Resource-Allocation
Reproduce results of the research article "Deep Reinforcement Learning Based Resource Allocation for V2V Communications"
aslirey/InformationTheory
Lab Assignments (MATLAB)
aslirey/ns3-gym
ns3-gym - The Playground for Reinforcement Learning in Networking Research
aslirey/ns3-sumo-coupling
A ns3 module for bidirectional coupling with SUMO
aslirey/sumo
Eclipse SUMO is an open source, highly portable, microscopic and continuous traffic simulation package designed to handle large networks. It allows for intermodal simulation including pedestrians and comes with a large set of tools for scenario creation.
aslirey/V2X-Gym
A vehicular network simulator (SUMO+ns-3) encapsulated behind Gym API (OpenAI-Gym), which allows users to evaluate RL-enhanced vehicular network. Furthermore, the V2X-Gym accepts XML-format files as input to configure complex vehicular network simulation environment.