Cover Image

AI-Enabled Data-driven Intelligence for Spectrum Demand Estimation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Brown, Colin, Alkadamani, Mohamad, Yanikomeroglu, Halim
Format:	Preprint
Published:	2026
Subjects:	Systems and Control Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

AI-Enhanced Spatial Cellular Traffic Demand Prediction with Contextual Clustering and Error Correction for 5G/6G Planning
by: Alkadamani, Mohamad, et al.
Published: (2026)

Towards Intelligent Spectrum Management: Spectrum Demand Estimation Using Graph Neural Networks
by: Alkadamani, Mohamad, et al.
Published: (2026)

Towards Flexible Spectrum Access: Data-Driven Insights into Spectrum Demand
by: Alkadamani, Mohamad, et al.
Published: (2026)

A Graph-Based Approach to Spectrum Demand Prediction Using Hierarchical Attention Networks
by: Alkadamani, Mohamad, et al.
Published: (2026)

AoI-Aware Resource Allocation with Deep Reinforcement Learning for HAPS-V2X Networks
by: Ince, Ahmet Melih, et al.
Published: (2025)

Hierarchical LLM-Driven Control for HAPS-Assisted UAV Networks: Joint Optimization of Flight and Connectivity
by: Yan, Zijiang, et al.
Published: (2026)

Quantum Graph Neural Networks for Double-Sided Reconfigurable Intelligent Surface Optimization
by: Hassan, Noha, et al.
Published: (2026)

Safe Deep Reinforcement Learning for Building Heating Control and Demand-side Flexibility
by: Jüni, Colin, et al.
Published: (2026)

Enhancing Sustainability in HAPS-Assisted 6G Networks: Load Estimation Aware Cell Switching
by: Salamatmoghadasi, Maryam, et al.
Published: (2025)

Addressing Terminal Constraints in Data-Driven Demand Response Scheduling
by: Bloor, Maximilian, et al.
Published: (2026)

Two-Phase Cell Switching in 6G vHetNets: Sleeping-Cell Load Estimation and Renewable-Aware Switching Toward NES
by: Salamatmoghadasi, Maryam, et al.
Published: (2026)

Path-Based Quantum Meta-Learning for Adaptive Optimization of Reconfigurable Intelligent Surfaces
by: Hassan, Noha, et al.
Published: (2026)

Conversational Demand Response: Bidirectional Aggregator-Prosumer Coordination through Agentic AI
by: Makroum, Reda El, et al.
Published: (2026)

Data-driven Acceleration of MPC with Guarantees
by: Castellano, Agustin, et al.
Published: (2025)

Fine-Tuning LLMs to Generate Economical and Reliable Actions for the Power Grid
by: Chehade, Mohamad, et al.
Published: (2026)

Addressing the Load Estimation Problem: Cell Switching in HAPS-Assisted Sustainable 6G Networks
by: Salamatmoghadasi, Maryam, et al.
Published: (2024)

Novel Methods for Load Estimation in Cell Switching in HAPS-Assisted Sustainable 6G Networks
by: Salamatmoghadasi, Maryam, et al.
Published: (2024)

Energy Management for Renewable-Colocated Artificial Intelligence Data Centers
by: Li, Siying, et al.
Published: (2025)

Strategic Demand-Planning in Wireless Networks: Can Generative-AI Save Spectrum and Energy?
by: Çiloğlu, Berk, et al.
Published: (2024)

Data-driven HVAC Control Using Symbolic Regression: Design and Implementation
by: Ozawa, Yuki, et al.
Published: (2023)

Optimized Deployment of HAPS Systems for GNSS Localization Enhancement in Urban Environments
by: Zheng, Hongzhao, et al.
Published: (2026)

Integrating Terrestrial and Non-Terrestrial Networks for Sustainable 6G Operations: A Latency-Aware Multi-Tier Cell-Switching Approach
by: Ozturk, Metin, et al.
Published: (2025)

Data-driven modeling and supervisory control system optimization for plug-in hybrid electric vehicles
by: Zhang, Hao, et al.
Published: (2024)

Learning and Optimization for Price-based Demand Response of Electric Vehicle Charging
by: Gu, Chengyang, et al.
Published: (2024)

A Hybrid Artificial Intelligence Method for Estimating Flicker in Power Systems
by: Enayati, Javad, et al.
Published: (2025)

Peaking into the Black-box: Prediction Intervals Give Insight into Data-driven Quadrotor Model Reliability
by: van Beers, Jasper, et al.
Published: (2024)

Networked Multiagent Safe Reinforcement Learning for Low-carbon Demand Management in Distribution Network
by: Zhang, Jichen, et al.
Published: (2023)

TADI: Tool-Augmented Drilling Intelligence via Agentic LLM Orchestration over Heterogeneous Wellsite Data
by: Lu, Rong
Published: (2026)

Control of Renewable Energy Communities using AI and Real-World Data
by: Fonseca, Tiago, et al.
Published: (2025)

Enhancing Next-Generation Urban Connectivity: Is the Integrated HAPS-Terrestrial Network a Solution?
by: Shamsabadi, Afsoon Alidadi, et al.
Published: (2023)

Impact of Objective Function on Spectral Efficiency in Integrated HAPS-Terrestrial Networks
by: Shamsabadi, Afsoon Alidadi, et al.
Published: (2024)

Two-Level Distributed Interference Management for Large-Scale HAPS-Empowered vHetNets
by: Shamsabadi, Afsoon Alidadi, et al.
Published: (2025)

Estimating Control Barriers from Offline Data
by: Yu, Hongzhan, et al.
Published: (2025)

Demand response for residential building heating: Effective Monte Carlo Tree Search control based on physics-informed neural networks
by: Pavirani, Fabio, et al.
Published: (2023)

Sustainable Vertical Heterogeneous Networks: A Cell Switching Approach with High Altitude Platform Station
by: Salamatmoghadasi, Maryam, et al.
Published: (2026)

Analysis of Thompson Sampling for Controlling Unknown Linear Diffusion Processes
by: Faradonbeh, Mohamad Kazem Shirani, et al.
Published: (2022)

Aleks: AI powered Multi Agent System for Autonomous Scientific Discovery via Data-Driven Approaches in Plant Science
by: Jin, Daoyuan, et al.
Published: (2025)

Combining Physics-based and Data-driven Modeling for Building Energy Systems
by: Von Krannichfeldt, Leandro, et al.
Published: (2024)

Energy Sustainability in Dense Radio Access Networks via High Altitude Platform Stations
by: Salamatmoghadasi, Maryam, et al.
Published: (2023)

Capturing Aerodynamic Characteristics of ATTAS Aircraft with Evolving Intelligent System
by: Soylu, Aydoğan, et al.
Published: (2025)