Edge Caching Optimization with PPO and Transfer Learning for Dynamic Environments
Fuente:
arXiv
Guardado en:
| Autores principales: | Niknia, Farnaz, Wang, Ping |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Attention-Enhanced Prioritized Proximal Policy Optimization for Adaptive Edge Caching
por: Niknia, Farnaz, et al.
Publicado: (2024)
por: Niknia, Farnaz, et al.
Publicado: (2024)
Resource-Aware Hierarchical Federated Learning in Wireless Video Caching Networks
por: Pervej, Md Ferdous, et al.
Publicado: (2024)
por: Pervej, Md Ferdous, et al.
Publicado: (2024)
Resource-Aware Hierarchical Federated Learning for Video Caching in Wireless Networks
por: Pervej, Md Ferdous, et al.
Publicado: (2023)
por: Pervej, Md Ferdous, et al.
Publicado: (2023)
FIRE: A Failure-Adaptive Reinforcement Learning Framework for Edge Computing Migrations
por: Siew, Marie, et al.
Publicado: (2022)
por: Siew, Marie, et al.
Publicado: (2022)
Learning with Dynamics: Autonomous Regulation of UAV Based Communication Networks with Dynamic UAV Crew
por: Zhang, Ran, et al.
Publicado: (2024)
por: Zhang, Ran, et al.
Publicado: (2024)
Entropy-Aware Task Offloading in Mobile Edge Computing
por: Ardakani, Mohsen Sahraei, et al.
Publicado: (2026)
por: Ardakani, Mohsen Sahraei, et al.
Publicado: (2026)
T-PRIME: Transformer-based Protocol Identification for Machine-learning at the Edge
por: Belgiovine, Mauro, et al.
Publicado: (2024)
por: Belgiovine, Mauro, et al.
Publicado: (2024)
Semantic-Aware Edge Intelligence for UAV Handover in 6G Networks
por: Al-Hameed, Aubida A., et al.
Publicado: (2025)
por: Al-Hameed, Aubida A., et al.
Publicado: (2025)
Privacy-Aware Multi-Device Cooperative Edge Inference with Distributed Resource Bidding
por: Zhuang, Wenhao, et al.
Publicado: (2024)
por: Zhuang, Wenhao, et al.
Publicado: (2024)
EAPS: Edge-Assisted Predictive Sleep Scheduling for 802.11 IoT Stations
por: Sheth, Jaykumar, et al.
Publicado: (2020)
por: Sheth, Jaykumar, et al.
Publicado: (2020)
Optimizing Server Placement for Vertical Federated Learning in Dynamic Edge/Fog Networks
por: Wang, Su, et al.
Publicado: (2026)
por: Wang, Su, et al.
Publicado: (2026)
Reinforcement Learning for Dynamic Resource Allocation in Optical Networks: Hype or Hope?
por: Doherty, Michael, et al.
Publicado: (2025)
por: Doherty, Michael, et al.
Publicado: (2025)
Optimizing Reinforcement Learning Training over Digital Twin Enabled Multi-fidelity Networks
por: Yu, Hanzhi, et al.
Publicado: (2026)
por: Yu, Hanzhi, et al.
Publicado: (2026)
An Overview of Machine Learning-Enabled Optimization for Reconfigurable Intelligent Surfaces-Aided 6G Networks: From Reinforcement Learning to Large Language Models
por: Zhou, Hao, et al.
Publicado: (2024)
por: Zhou, Hao, et al.
Publicado: (2024)
Towards Trustworthy 6G Network Digital Twins: A Framework for Validating Counterfactual What-If Analysis in Edge Computing Resources
por: Agudelo, Julian Jimenez, et al.
Publicado: (2026)
por: Agudelo, Julian Jimenez, et al.
Publicado: (2026)
Optimizing Wireless Resource Management and Synchronization in Digital Twin Networks
por: Yu, Hanzhi, et al.
Publicado: (2025)
por: Yu, Hanzhi, et al.
Publicado: (2025)
Lossy Cooperative UAV Relaying Networks: Outage Probability Analysis and Location Optimization
por: Lian, Ya, et al.
Publicado: (2024)
por: Lian, Ya, et al.
Publicado: (2024)
VoI-Driven Joint Optimization of Control and Communication in Vehicular Digital Twin Network
por: Lei, Lei, et al.
Publicado: (2025)
por: Lei, Lei, et al.
Publicado: (2025)
Context-Conditioned Spatio-Temporal Predictive Learning for Reliable V2V Channel Prediction
por: Chu, Lei, et al.
Publicado: (2024)
por: Chu, Lei, et al.
Publicado: (2024)
Toward Enhanced Reinforcement Learning-Based Resource Management via Digital Twin: Opportunities, Applications, and Challenges
por: Cheng, Nan, et al.
Publicado: (2024)
por: Cheng, Nan, et al.
Publicado: (2024)
EdgeSight: Enabling Modeless and Cost-Efficient Inference at the Edge
por: Lao, ChonLam, et al.
Publicado: (2024)
por: Lao, ChonLam, et al.
Publicado: (2024)
PPO-Based Hybrid Optimization for RIS-Assisted Semantic Vehicular Edge Computing
por: Feng, Wei, et al.
Publicado: (2026)
por: Feng, Wei, et al.
Publicado: (2026)
Personalized Hierarchical Split Federated Learning in Wireless Networks
por: Pervej, Md-Ferdous, et al.
Publicado: (2024)
por: Pervej, Md-Ferdous, et al.
Publicado: (2024)
CVaR-Based Variational Quantum Optimization for User Association in Handoff-Aware Vehicular Networks
por: Yan, Zijiang, et al.
Publicado: (2025)
por: Yan, Zijiang, et al.
Publicado: (2025)
Machine Learning-Based Path Loss Modeling with Simplified Features
por: Ethier, Jonathan, et al.
Publicado: (2024)
por: Ethier, Jonathan, et al.
Publicado: (2024)
Reinforcement Learning with Graph Attention for Routing and Wavelength Assignment with Lightpath Reuse
por: Doherty, Michael, et al.
Publicado: (2025)
por: Doherty, Michael, et al.
Publicado: (2025)
The Fusion of Deep Reinforcement Learning and Edge Computing for Real-time Monitoring and Control Optimization in IoT Environments
por: Xu, Jingyu, et al.
Publicado: (2024)
por: Xu, Jingyu, et al.
Publicado: (2024)
Machine Learning-Driven Anomaly Detection for 5G O-RAN Performance Metrics
por: Azkaei, Babak, et al.
Publicado: (2025)
por: Azkaei, Babak, et al.
Publicado: (2025)
Unsupervised Graph-based Learning Method for Sub-band Allocation in 6G Subnetworks
por: Abode, Daniel, et al.
Publicado: (2023)
por: Abode, Daniel, et al.
Publicado: (2023)
Hierarchical Federated Learning in Wireless Networks: Pruning Tackles Bandwidth Scarcity and System Heterogeneity
por: Pervej, Md Ferdous, et al.
Publicado: (2023)
por: Pervej, Md Ferdous, et al.
Publicado: (2023)
UAV-Assisted Space-Air-Ground Integrated Networks: A Technical Review of Recent Learning Algorithms
por: Arani, Atefeh H., et al.
Publicado: (2022)
por: Arani, Atefeh H., et al.
Publicado: (2022)
BONES: Near-Optimal Neural-Enhanced Video Streaming
por: Wang, Lingdong, et al.
Publicado: (2023)
por: Wang, Lingdong, et al.
Publicado: (2023)
V2X-Assisted Distributed Computing and Control Framework for Connected and Automated Vehicles under Ramp Merging Scenario
por: Wu, Qiong, et al.
Publicado: (2024)
por: Wu, Qiong, et al.
Publicado: (2024)
Integrating Optimization Theory with Deep Learning for Wireless Network Design
por: Coleri, Sinem, et al.
Publicado: (2024)
por: Coleri, Sinem, et al.
Publicado: (2024)
State-Aware Perturbation Optimization for Robust Deep Reinforcement Learning
por: Zhang, Zongyuan, et al.
Publicado: (2025)
por: Zhang, Zongyuan, et al.
Publicado: (2025)
Privacy-Preserving Federated Learning for Fair and Efficient Urban Traffic Optimization
por: Shit, Rathin Chandra, et al.
Publicado: (2025)
por: Shit, Rathin Chandra, et al.
Publicado: (2025)
Revenue Optimization in Wireless Video Caching Networks: A Privacy-Preserving Two-Stage Solution
por: Zhang, Yijing, et al.
Publicado: (2025)
por: Zhang, Yijing, et al.
Publicado: (2025)
ML KPI Prediction in 5G and B5G Networks
por: Tran, Nguyen Phuc, et al.
Publicado: (2024)
por: Tran, Nguyen Phuc, et al.
Publicado: (2024)
Cell Switching in HAPS-Aided Networking: How the Obscurity of Traffic Loads Affects the Decision
por: Çiloğlu, Berk, et al.
Publicado: (2024)
por: Çiloğlu, Berk, et al.
Publicado: (2024)
CrystalBox: Future-Based Explanations for Input-Driven Deep RL Systems
por: Patel, Sagar, et al.
Publicado: (2023)
por: Patel, Sagar, et al.
Publicado: (2023)
Ejemplares similares
-
Attention-Enhanced Prioritized Proximal Policy Optimization for Adaptive Edge Caching
por: Niknia, Farnaz, et al.
Publicado: (2024) -
Resource-Aware Hierarchical Federated Learning in Wireless Video Caching Networks
por: Pervej, Md Ferdous, et al.
Publicado: (2024) -
Resource-Aware Hierarchical Federated Learning for Video Caching in Wireless Networks
por: Pervej, Md Ferdous, et al.
Publicado: (2023) -
FIRE: A Failure-Adaptive Reinforcement Learning Framework for Edge Computing Migrations
por: Siew, Marie, et al.
Publicado: (2022) -
Learning with Dynamics: Autonomous Regulation of UAV Based Communication Networks with Dynamic UAV Crew
por: Zhang, Ran, et al.
Publicado: (2024)