Cover Image

ML KPI Prediction in 5G and B5G Networks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Tran, Nguyen Phuc, Delgado, Oscar, Jaumard, Brigitte, Bishay, Fadi
Format:	Preprint
Published:	2024
Subjects:	Networking and Internet Architecture Machine Learning Systems and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Proactive Service Assurance in 5G and B5G Networks: A Closed-Loop Algorithm for End-to-End Network Slicing
by: Tran, Nguyen Phuc, et al.
Published: (2024)

Asynchronous MultiAgent Reinforcement Learning for 5G Routing under Side Constraints
by: Racedo, Sebastian, et al.
Published: (2026)

Cross-Domain Query Translation for Network Troubleshooting: A Multi-Agent LLM Framework with Privacy Preservation and Self-Reflection
by: Tran, Nguyen Phuc, et al.
Published: (2026)

Machine Learning-Driven Anomaly Detection for 5G O-RAN Performance Metrics
by: Azkaei, Babak, et al.
Published: (2025)

Enhanced 5G/B5G Network Planning/Optimization deploying RIS in Urban/Outdoor Scenarios
by: Farré, Valdemar, et al.
Published: (2024)

Semantic-Aware Edge Intelligence for UAV Handover in 6G Networks
by: Al-Hameed, Aubida A., et al.
Published: (2025)

QoS-Aware Dynamic CU Selection in O-RAN with Graph-Based Reinforcement Learning
by: Racedo, Sebastian, et al.
Published: (2025)

The LLM as a Network Operator: A Vision for Generative AI in the 6G Radio Access Network
by: Giwa, Oluwaseyi, et al.
Published: (2025)

Towards Trustworthy 6G Network Digital Twins: A Framework for Validating Counterfactual What-If Analysis in Edge Computing Resources
by: Agudelo, Julian Jimenez, et al.
Published: (2026)

Time Synchronization for 5G and TSN Integrated Networking
by: Wang, Zixiao, et al.
Published: (2024)

An Overview of Machine Learning-Enabled Optimization for Reconfigurable Intelligent Surfaces-Aided 6G Networks: From Reinforcement Learning to Large Language Models
by: Zhou, Hao, et al.
Published: (2024)

Unsupervised Graph-based Learning Method for Sub-band Allocation in 6G Subnetworks
by: Abode, Daniel, et al.
Published: (2023)

Performance Study of Various Relay Nodes in 5G Wireless Network
by: Luo, Jianghong, et al.
Published: (2024)

Improving 5G/B5G Network Performance with RFID-Enabled Resource Management Systems
by: Arinze, Stella N., et al.
Published: (2025)

ML-Enabled Eavesdropper Detection in Beyond 5G IIoT Networks
by: Bartsioka, Maria-Lamprini A., et al.
Published: (2025)

QoS Identifier and Slice Mapping in 5G and Non-Terrestrial Network Interconnected Systems
by: Abe, Yuma, et al.
Published: (2026)

Towards Next Generation Immersive Applications in 5G Environments
by: Asim, Rohail, et al.
Published: (2025)

Network Resource Optimization for ML-Based UAV Condition Monitoring with Vibration Analysis
by: Gemayel, Alexandre, et al.
Published: (2025)

5G-Enabled Smart Prosthetic Hand: Connectivity Analysis and Assessment
by: Karaali, Ozan, et al.
Published: (2025)

ACCORD: Application Context-aware Cross-layer Optimization and Resource Design for 5G/NextG Machine-centric Applications
by: Chiejina, Azuka, et al.
Published: (2025)

Context-Conditioned Spatio-Temporal Predictive Learning for Reliable V2V Channel Prediction
by: Chu, Lei, et al.
Published: (2024)

Optimizing 5G-Advanced Networks for Time-critical Applications: The Role of L4S
by: Pan, Guangjin, et al.
Published: (2024)

EAPS: Edge-Assisted Predictive Sleep Scheduling for 802.11 IoT Stations
by: Sheth, Jaykumar, et al.
Published: (2020)

Deep Reinforcement Learning Approach to QoSAware Load Balancing in 5G Cellular Networks under User Mobility and Observation Uncertainty
by: Eskandarpour, Mehrshad, et al.
Published: (2025)

NeuralEmu: in situ Measurement-Driven, ML-based, High-Fidelity 5G Network Emulation
by: Wan, Haoran, et al.
Published: (2026)

Personalized Hierarchical Split Federated Learning in Wireless Networks
by: Pervej, Md-Ferdous, et al.
Published: (2024)

Optimizing Wireless Resource Management and Synchronization in Digital Twin Networks
by: Yu, Hanzhi, et al.
Published: (2025)

Resource-Aware Hierarchical Federated Learning in Wireless Video Caching Networks
by: Pervej, Md Ferdous, et al.
Published: (2024)

Resource-Aware Hierarchical Federated Learning for Video Caching in Wireless Networks
by: Pervej, Md Ferdous, et al.
Published: (2023)

Reinforcement Learning for Dynamic Resource Allocation in Optical Networks: Hype or Hope?
by: Doherty, Michael, et al.
Published: (2025)

Lossy Cooperative UAV Relaying Networks: Outage Probability Analysis and Location Optimization
by: Lian, Ya, et al.
Published: (2024)

Towards Energy- and Cost-Efficient 6G Networks
by: Azzino, Tommy, et al.
Published: (2024)

Cell Switching in HAPS-Aided Networking: How the Obscurity of Traffic Loads Affects the Decision
by: Çiloğlu, Berk, et al.
Published: (2024)

Learning with Dynamics: Autonomous Regulation of UAV Based Communication Networks with Dynamic UAV Crew
by: Zhang, Ran, et al.
Published: (2024)

VoI-Driven Joint Optimization of Control and Communication in Vehicular Digital Twin Network
by: Lei, Lei, et al.
Published: (2025)

Optimizing Reinforcement Learning Training over Digital Twin Enabled Multi-fidelity Networks
by: Yu, Hanzhi, et al.
Published: (2026)

Hierarchical Federated Learning in Wireless Networks: Pruning Tackles Bandwidth Scarcity and System Heterogeneity
by: Pervej, Md Ferdous, et al.
Published: (2023)

UAV-Assisted Space-Air-Ground Integrated Networks: A Technical Review of Recent Learning Algorithms
by: Arani, Atefeh H., et al.
Published: (2022)

AI-Native Network Digital Twin for Intelligent Network Management in 6G
by: Wu, Wen, et al.
Published: (2024)

Enabling Communication and Control Co-Design in 6G Networks
by: Ayan, Onur, et al.
Published: (2024)