Cover Image

A Machine Learning Framework for Large-Scale Static Wireless Mesh Networks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Andrusenko, Julia
Format:	Preprint
Published:	2026
Subjects:	Signal Processing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Ray-Tracing vs. 3GPP TDL: Power Delay Profile Analysis in Outdoor-to-Indoor and Indoor Channels
by: Andrusenko, Julia, et al.
Published: (2026)

Machine Learning-Driven Adaptive Power Allocation for Optical Wireless Networks
by: Ncube, Walter Zibusiso, et al.
Published: (2025)

Internodal Distance Distributions for Static and Mobile Nodes in 2D/3D Wireless Networks
by: Vaiopoulos, Nicholas, et al.
Published: (2025)

Graph Neural Networks in Large Scale Wireless Communication Networks: Scalability Across Random Geometric Graphs
by: Camargo, Romina Garcia, et al.
Published: (2025)

Multimodal-Wireless: A Large-Scale Dataset for Sensing and Communication
by: Mao, Tianhao, et al.
Published: (2025)

WirelessAgent: Large Language Model Agents for Intelligent Wireless Networks
by: Tong, Jingwen, et al.
Published: (2025)

Meta-Learning Based Optimization for Large Scale Wireless Systems
by: Loli, Rafael Cerna, et al.
Published: (2024)

SIG-SDP: Sparse Interference Graph-Aided Semidefinite Programming for Large-Scale Wireless Time-Sensitive Networking
by: Gu, Zhouyou, et al.
Published: (2025)

A Survey of Application of Machine Learning in Wireless Indoor Positioning Systems
by: Sonny, Amala, et al.
Published: (2024)

LarS-Net: A Large-Scale Framework for Network-Level Spectrum Sensing
by: Guo, Hao, et al.
Published: (2026)

Two Power Allocation and Beamforming Strategies for Active IRS-aided Wireless Network via Machine Learning
by: Cheng, Qiankun, et al.
Published: (2024)

Cooperative Multi-Static ISAC Networks: A Unified Design Framework for Active and Passive Sensing
by: Yang, Yan, et al.
Published: (2025)

Movable Intelligent Surface-Enabled Wireless Communications: Static Phase Shifts with Mechanical Reconfigurability
by: Zheng, Ziyuan, et al.
Published: (2025)

A Unified Framework for Adaptive Waveform Processing in Next Generation Wireless Networks
by: Arous, Abdelali, et al.
Published: (2025)

CSRD2025: A Large-Scale Synthetic Radio Dataset for Spectrum Sensing in Wireless Communications
by: Chang, Shuo, et al.
Published: (2025)

Comparing Stochastic and Ray-tracing Datasets in Machine Learning for Wireless Applications
by: Morais, João, et al.
Published: (2025)

Embodied Intelligent Wireless (EIW): Synesthesia of Machines Empowered Wireless Communications
by: Cheng, Xiang, et al.
Published: (2025)

Wireless Channel Modeling for Machine Learning -- A Critical View on Standardized Channel Models
by: Böck, Benedikt, et al.
Published: (2025)

Leveraging Digital Cousins for Ensemble Q-Learning in Large-Scale Wireless Networks
by: Bozkus, Talha, et al.
Published: (2024)

Bi-Static Sensing in OFDM Wireless Systems for Indoor Scenarios
by: Yajnanarayana, Vijaya, et al.
Published: (2024)

Fast Network Recovery from Large-Scale Disasters: A Resilient and Self-Organizing RAN Framework
by: Yagan, M. Yaser, et al.
Published: (2024)

ICWLM: A Multi-Task Wireless Large Model via In-Context Learning
by: Wen, Yuxuan, et al.
Published: (2025)

On the Deployment of Multiple Radio Stripes for Large-Scale Near-Field RF Wireless Power Transfer
by: Azarbahram, Amirhossein, et al.
Published: (2025)

Multi-IRS Enhanced Wireless Coverage: Deployment Optimization Based on Large-Scale Channel Knowledge
by: Fu, Min, et al.
Published: (2024)

A Unified Multicarrier Waveform Framework for Next-generation Wireless Networks: Principles, Performance, and Challenges
by: Zhang, Xingyao, et al.
Published: (2026)

CITYMPC: A Large-Scale Physics-Informed Benchmark and Tool for Generative Complete Multipath Wireless Channel Modeling
by: Arun, Ashwin Natraj, et al.
Published: (2026)

A Retrieval-Assisted Framework for Wireless Localization
by: Huang, Haoyu, et al.
Published: (2026)

Prompting Wireless Networks: Reinforced In-Context Learning for Power Control
by: Zhou, Hao, et al.
Published: (2025)

Cross-Domain Lifelong Reinforcement Learning for Wireless Sensor Networks
by: Firouzjaei, Hossein Mohammadi, et al.
Published: (2025)

Revolutionizing Wireless Networks with Self-Supervised Learning: A Pathway to Intelligent Communications
by: Yang, Zhixiang, et al.
Published: (2024)

A Self-Healing Mesh Network without Global-Time Synchronization
by: Şahin, Alphan, et al.
Published: (2024)

SSwsrNet: A Semi-Supervised Few-Shot Learning Framework for Wireless Signal Recognition
by: Zhang, Hao, et al.
Published: (2024)

FLARE: A New Federated Learning Framework with Adjustable Learning Rates over Resource-Constrained Wireless Networks
by: Xiao, Bingnan, et al.
Published: (2024)

WiMamba: Linear-Scale Wireless Foundation Model
by: Raviv, Tomer, et al.
Published: (2026)

A Machine Learning-Driven Wireless System for Structural Health Monitoring
by: Pop, Marius, et al.
Published: (2024)

Deep Reinforcement Learning Based Routing for Heterogeneous Multi-Hop Wireless Networks
by: Kim, Brian, et al.
Published: (2025)

IRS-User Association in IRS-Aided MISO Wireless Networks: Convex Optimization and Machine Learning Approaches
by: Amiriara, Hamid, et al.
Published: (2022)

Low-Altitude Wireless Networks: A Comprehensive Survey
by: Wu, Jun, et al.
Published: (2025)

Wireless-Fed Pinching-Antenna Systems (Wi-PASS) for NextG Wireless Networks
by: Wijewardhana, Kasun R., et al.
Published: (2025)

Machine Learning for Future Wireless Communications: Channel Prediction Perspectives
by: Kim, Hwanjin, et al.
Published: (2025)