Reinforcement learning based scheduling algorithm for optimizing AoI in URLLC networks
☆54Jan 21, 2019Updated 7 years ago
Alternatives and similar repositories for AoI_RL
Users that are interested in AoI_RL are comparing it to the libraries listed below
Sorting:
- This package analyzes the age of information (AoI) in a wireless network, providing metrics for network performance evaluation. It can b…☆19Feb 20, 2025Updated last year
- GitHub for the article Deep Reinforcement Learning for URLLC data management on top of scheduled eMBB traffic (Fabio Saggese, Luca Pasqua…☆18Feb 18, 2021Updated 5 years ago
- Code implementing the algorithm and the benchmark of the paper "Power Minimization of Downlink Spectrum Slicing for eMBB and URLLC Users"☆13Dec 1, 2022Updated 3 years ago
- Deep Q Network-based scheduling over two-hop wireless channels.☆17Apr 3, 2021Updated 4 years ago
- ☆14Dec 4, 2018Updated 7 years ago
- Federated Learning over Wireless Networks: Convergence Analysis and Resource Allocation☆35Sep 24, 2021Updated 4 years ago
- Codes for the paper "AoI Aware Radio Resource Management of Autonomous Platoons via Multi Agent Reinforcement Learning"☆24Feb 22, 2023Updated 3 years ago
- Age of Information, Prediction☆12Nov 7, 2019Updated 6 years ago
- Author's implementation of the paper Correlated Age-of-Information Bandits.☆13Jun 19, 2021Updated 4 years ago
- This is the code for paper: Scalable Federated Multi-agent Architecture forNetworked Communication Scenarios☆21Aug 6, 2021Updated 4 years ago
- Code for the paper "Age of Information Analysis in Edge Computing Servers"☆20Feb 12, 2024Updated 2 years ago
- Research project on Resource-elastic tasks for edge cloud computing☆12Aug 12, 2021Updated 4 years ago
- Code for the paper "Age-of-Information-based Scheduling in Multiuser Uplinks with Stochastic Arrivals: A POMDP Approach"☆12Nov 3, 2023Updated 2 years ago
- Matlab codes for the paper K.-H. Ngo, G. Durisi, and A. Graell i Amat, "Age of information in prioritized random access," in 55th Asiloma…☆11Jan 12, 2022Updated 4 years ago
- Code for 2022 VTC paper, Optimal Scheduling for Minimizing Peak Age of Information in Uplink Systems.☆15Sep 19, 2023Updated 2 years ago
- Code for the paper "Learning to Schedule Joint Radar-Communication with Deep Multi-Agent Reinforcement Learning" as published in the IEEE…☆28Aug 10, 2022Updated 3 years ago
- A TensorFlow attempt to reimplement the IEEE VTC2023-Spring paper “Deep Reinforcement Learning-Based Resource Allocation for Cellular V2X…☆29Mar 6, 2024Updated 2 years ago
- Deep Reinforcement Learning for Dynamic Multicahnnel Access in Wireless Networks☆14Oct 1, 2017Updated 8 years ago
- This code simulate effect of using edge computing for NFV.☆12Jan 16, 2020Updated 6 years ago
- Source code for the papers "Deep-reinforcement learning for fair distributed dynamic spectrum access in wireless networks" and "Deep‐rein…☆13Oct 12, 2022Updated 3 years ago
- Simulation routines for "Cell-Free Massive MIMO for URLLC: A Finite-Blocklength Analysis", Alejandro Lancho, Giuseppe Durisi and Luca San…☆18Mar 29, 2023Updated 2 years ago
- Code for the paper "Learning to Schedule Joint Radar-Communication Requests for Optimal Information Freshness" as published in IEEE Intel…☆17Aug 10, 2022Updated 3 years ago
- The is a research project I am working on :)☆62Jan 5, 2024Updated 2 years ago
- Multi-Stage Hybrid Federated Learning over Large-Scale Wireless Fog Networks☆17Jan 25, 2022Updated 4 years ago
- ☆26Sep 29, 2021Updated 4 years ago
- ☆35Oct 10, 2025Updated 4 months ago
- simulation of "A novel reinforcement learning algorithm for virtual network emb e dding" paper☆18Jan 16, 2020Updated 6 years ago
- Federated learning is a distributed learning method that trains a deep network on user devices without collecting data from central serve…☆14Jul 7, 2020Updated 5 years ago
- ☆17Feb 20, 2023Updated 3 years ago
- Contains Implementation of Paper " S Wang, H Liu, P H Gomes, and B Krishnamachari ; Deep Reinforcement Learning for Dynamic Multichannel …☆58May 12, 2019Updated 6 years ago
- Apply Deep Reinforcement Learning aided by Federated Learning to Wireless Comunication☆122Apr 2, 2021Updated 4 years ago
- Thesis in Federated Learning using an Edge/Cloud Computing architecture☆10Feb 26, 2021Updated 5 years ago
- ☆10Mar 15, 2022Updated 3 years ago
- Source code for "Congestion-aware Distributed Task Offloading in Wireless Multi-hop Networks Using Graph Neural Networks"☆14Oct 23, 2024Updated last year
- A DDPG based reinforcement learning algorithm for cognitive radio inspired non-orthogonal multiple access (CR-NOMA) systems☆92Apr 13, 2021Updated 4 years ago
- J. Liu, X. Tao and J. Lu, "Mobility-Aware Centralized Reinforcement Learning for Dynamic Resource Allocation in HetNets," accepted by IEE…☆63May 29, 2020Updated 5 years ago
- ☆25Nov 10, 2023Updated 2 years ago
- Simulation routines for "URLLC with Massive MIMO: Analysis and Design at Finite Blocklength", Johan Östman, Alejandro Lancho, Giuseppe Du…☆26Jul 31, 2025Updated 7 months ago
- Asilomar 2020 code for Deep Actor-Critic Learning for Distributed Power Control in Wireless Mobile Networks☆41Jul 27, 2020Updated 5 years ago