Imagen de Portada

Adaptive Alarm Threshold Prediction in 4G Mobile Networks: A Percentile-Guided Deep Learning Framework with Interpretable Outputs

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Roy, Ayon, Sharif, Sadman, Sarkar, Shiva Prasad
Formato:	Preprint
Publicado:	2026
Materias:	Networking and Internet Architecture Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

A Deep Reinforcement Learning-based Approach for Adaptive Handover Protocols in Mobile Networks
por: Gu, Peter J., et al.
Publicado: (2024)

Age-Threshold Slotted ALOHA for Optimizing Information Freshness in Mobile Networks
por: Zhao, Fangming, et al.
Publicado: (2023)

Altitude-Dependent RSRP and RSRQ Trade-offs in 5G NR UAV Networks
por: Hossen, Md Sharif, et al.
Publicado: (2026)

SAIL: Unsupervised Spatial-Angular Interpretable Feature Learning for RF Map Synthesis
por: Sarkar, Sopan, et al.
Publicado: (2026)

Adaptive Vision-Based Coverage Optimization in Mobile Wireless Sensor Networks: A Multi-Agent Deep Reinforcement Learning Approach
por: Soltani, Parham, et al.
Publicado: (2025)

Aerial Booster-Cell Enabled Inter-Cell Interference Coordination for 5G NR Networks
por: Hossen, Md Sharif, et al.
Publicado: (2026)

A Deep Reinforcement Learning Framework for Optimizing Congestion Control in Data Centers
por: Ketabi, Shiva, et al.
Publicado: (2023)

Deep Reinforcement Learning for Network Energy Saving in 6G and Beyond Networks
por: Tran, Dinh-Hieu, et al.
Publicado: (2024)

Joint Explainability and Sensitivity-Aware Federated Deep Learning for Transparent 6G RAN Slicing
por: Roy, Swastika, et al.
Publicado: (2023)

Guided-Mutation Genetic Algorithm for Mobile IoT Network Relay
por: Kam, Gyupil, et al.
Publicado: (2024)

Network Digital Twin for 5G-Enabled Mobile Robots
por: Sanchez, Luis Roda, et al.
Publicado: (2025)

A Framework for AI-Native Semantic-Based Dynamic Slicing for 6G Networks
por: Chowdhury, Mayukh Roy, et al.
Publicado: (2025)

Adaptive 6G Networks-in-Network Management for Industrial Applications
por: Lindenschmitt, Daniel, et al.
Publicado: (2025)

Space-Air-Ground Integrated Networks for 6G Mobile Communications
por: Lan, Tianming
Publicado: (2025)

On-demand 5G Private Networks using a Mobile Cell
por: Coelho, André, et al.
Publicado: (2024)

Evolving Mobile Cloud Gaming with 5G Standalone Network Telemetry
por: Wan, Haoran, et al.
Publicado: (2024)

REDUS: Adaptive Resampling for Efficient Deep Learning in Centralized and Federated IoT Networks
por: Gad, Eyad, et al.
Publicado: (2025)

A Reinforcement Learning Framework for Mobility Control of gNBs in Dynamic Radio Access Networks
por: Duarte, Pedro, et al.
Publicado: (2025)

Federated Edge Learning for Predictive Maintenance in 6G Small Cell Networks
por: Sezgin, Yusuf Emir, et al.
Publicado: (2025)

Toward Scalable VR-Cloud Gaming: An Attention-aware Adaptive Resource Allocation Framework for 6G Networks
por: Almeida, Gabriel, et al.
Publicado: (2025)

Applying SDN to Mobile Networks: A New Perspective for 6G Architecture
por: Yadav, Rashmi, et al.
Publicado: (2023)

Energy-Latency Optimization for Dynamic 5G Mobile Radio Access Networks
por: H., Gabriela N. Caspa, et al.
Publicado: (2025)

Obstacle-Aware Positioning of a Mobile Robotic Platform for 6G Networks
por: Costa, Alexandre, et al.
Publicado: (2024)

Network Slicing in 5G Mobile Communication Architecture, Profit Modeling, and Challenges
por: Habibi, Mohammad Asif, et al.
Publicado: (2017)

Probabilistic Mobility Load Balancing for Multi-band 5G and Beyond Networks
por: Lahham, Saria Al, et al.
Publicado: (2024)

Optimizing 6G Dense Network Deployment for the Metaverse Using Deep Reinforcement Learning
por: Zhang, Jie, et al.
Publicado: (2025)

Interpretable Nonroutine Network Traffic Prediction with a Case Study
por: Wang, Liangzhi, et al.
Publicado: (2024)

Prediction-Guided Control in Data Center Networks
por: Zhao, Kevin, et al.
Publicado: (2026)

Delay-Robust Deep Reinforcement Learning for Ranging-Free Channel Access under Mobility in Underwater Acoustic Networks
por: Ye, Huaisheng, et al.
Publicado: (2026)

Play to Earn in the Metaverse with Mobile Edge Computing over Wireless Networks: A Deep Reinforcement Learning Approach
por: Chua, Terence Jie, et al.
Publicado: (2023)

Adaptive Reallocation of RAN Functions for Resilient 6G Networks
por: Almeida, Gabriel M., et al.
Publicado: (2025)

Adaptive AI Model Partitioning over 5G Networks
por: Nguyen, Tam Thanh, et al.
Publicado: (2025)

Fast and Adaptive Task Management in MEC: A Deep Learning Approach Using Pointer Networks
por: Yonkeu, Arild, et al.
Publicado: (2025)

SAJD: Self-Adaptive Jamming Attack Detection in AI/ML Integrated 5G O-RAN Networks
por: Rahman, Md Habibur, et al.
Publicado: (2025)

NeWRF: A Deep Learning Framework for Wireless Radiation Field Reconstruction and Channel Prediction
por: Lu, Haofan, et al.
Publicado: (2024)

Explanation-Guided Fair Federated Learning for Transparent 6G RAN Slicing
por: Roy, Swastika, et al.
Publicado: (2023)

QoS Assurance Mechanism for 5G Network Slicing Based on the Deep Reinforcement Learning PPO Algorithm
por: Li, Qingyang
Publicado: (2026)

User Association and Channel Allocation in 5G Mobile Asymmetric Multi-band Heterogeneous Networks
por: Dai, Miao, et al.
Publicado: (2024)

open5Gcube: A Modular and Usable Framework for Mobile Network Laboratories
por: Horstmann, Thorsten, et al.
Publicado: (2025)

A Mathematical Introduction to Deep Reinforcement Learning for 5G/6G Applications
por: Rezazadeh, Farhad
Publicado: (2024)