Copertina

Empowering Wireless Network Applications with Deep Learning-based Radio Propagation Models

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Bakirtzis, Stefanos, Yapar, Cagkan, Fiore, Marco, Zhang, Jie, Wassell, Ian
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Signal Processing Machine Learning Networking and Internet Architecture
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Learning Coverage- and Power-Optimal Transmitter Placement from Building Maps: A Comparative Study of Direct and Indirect Neural Approaches
di: Yapar, Çağkan
Pubblicazione: (2026)

Dataset of Pathloss and ToA Radio Maps With Localization Application
di: Yapar, Çağkan, et al.
Pubblicazione: (2022)

The First Indoor Pathloss Radio Map Prediction Challenge
di: Bakirtzis, Stefanos, et al.
Pubblicazione: (2025)

Radio Propagation Modelling: To Differentiate or To Deep Learn, That Is The Question
di: Bakirtzis, Stefanos, et al.
Pubblicazione: (2025)

Outdoor Environment Reconstruction with Deep Learning on Radio Propagation Paths
di: Khachatrian, Hrant, et al.
Pubblicazione: (2024)

Large Language Models-Empowered Wireless Networks: Fundamentals, Architecture, and Challenges
di: Khan, Latif U., et al.
Pubblicazione: (2025)

AMPLE: An Adaptive Multiple Path Loss Exponent Radio Propagation Model Considering Environmental Factors
di: Zhou, Lingyou, et al.
Pubblicazione: (2023)

Knowledge-Driven Deep Learning Paradigms for Wireless Network Optimization in 6G
di: Sun, Ruijin, et al.
Pubblicazione: (2024)

Optimisation of Resource Allocation in Heterogeneous Wireless Networks Using Deep Reinforcement Learning
di: Giwa, Oluwaseyi, et al.
Pubblicazione: (2025)

Deep-Learned Compression for Radio-Frequency Signal Classification
di: Rodriguez, Armani, et al.
Pubblicazione: (2024)

Deep Reinforcement Learning for Multi-flow Routing in Heterogeneous Wireless Networks
di: Kim, Brian, et al.
Pubblicazione: (2025)

Wireless-Friendly Window Position Optimization for RIS-Aided Outdoor-to-Indoor Networks based on Multi-Modal Large Language Model
di: Hou, Jinbo, et al.
Pubblicazione: (2024)

Shaping Radio Access to Match Variable Wireless Fronthaul Quality in Next-Generation Networks
di: Morini, Marcello, et al.
Pubblicazione: (2024)

Graph Representation Learning for Contention and Interference Management in Wireless Networks
di: Gu, Zhouyou, et al.
Pubblicazione: (2024)

Deep Learning-Based Image Compression for Wireless Communications: Impacts on Reliability,Throughput, and Latency
di: Naseri, Mostafa, et al.
Pubblicazione: (2024)

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

Coverage Analysis of Multi-Environment Q-Learning Algorithms for Wireless Network Optimization
di: Bozkus, Talha, et al.
Pubblicazione: (2024)

Average Reward Reinforcement Learning for Wireless Radio Resource Management
di: Yang, Kun, et al.
Pubblicazione: (2025)

Cellular Wireless Networks in the Upper Mid-Band
di: Kang, Seongjoon, et al.
Pubblicazione: (2023)

Teacher-Student Learning based Low Complexity Relay Selection in Wireless Powered Communications
di: Onalan, Aysun Gurur, et al.
Pubblicazione: (2024)

Tiny Graph Neural Networks for Radio Resource Management
di: Ghasemi, Ahmad, et al.
Pubblicazione: (2024)

OpenAirLink: Reproducible Wireless Channel Emulation using Software Defined Radios
di: Deshpande, Yash, et al.
Pubblicazione: (2024)

RSSI Estimation for Constrained Indoor Wireless Networks using ANN
di: Arif, Samrah, et al.
Pubblicazione: (2024)

Hierarchical Reinforcement Learning Empowered Task Offloading in V2I Networks
di: You, Xinyu, et al.
Pubblicazione: (2024)

Dynamical ON-OFF Control with Trajectory Prediction for Multi-RIS Wireless Networks
di: Wang, Kaining, et al.
Pubblicazione: (2025)

Data-Driven Radio Environment Map Estimation Using Graph Neural Networks
di: Shibli, Ali, et al.
Pubblicazione: (2024)

Fast Adaptation for Deep Learning-based Wireless Communications
di: Wang, Ouya, et al.
Pubblicazione: (2024)

Edge Learning Based Collaborative Automatic Modulation Classification for Hierarchical Cognitive Radio Networks
di: Dong, Peihao, et al.
Pubblicazione: (2024)

WirelessBench: A Tolerance-Aware LLM Agent Benchmark for Wireless Network Intelligence
di: Tong, Jingwen, et al.
Pubblicazione: (2026)

The Role of ISAC in 6G Networks: Enabling Next-Generation Wireless Systems
di: Qaisar, Muhammad Umar Farooq, et al.
Pubblicazione: (2025)

Context-Aware Semantic Communication for the Wireless Networks
di: Liu, Guangyuan, et al.
Pubblicazione: (2025)

Curated Wireless Datasets for Aerial Network Research
di: Raouf, Amir Hossein Fahim, et al.
Pubblicazione: (2025)

FeMLoc: Federated Meta-learning for Adaptive Wireless Indoor Localization Tasks in IoT Networks
di: Etiabi, Yaya, et al.
Pubblicazione: (2024)

Learning Wireless Data Knowledge Graph for Green Intelligent Communications: Methodology and Experiments
di: Huang, Yongming, et al.
Pubblicazione: (2024)

Topology Learning for Heterogeneous Decentralized Federated Learning over Unreliable D2D Networks
di: Wu, Zheshun, et al.
Pubblicazione: (2023)

A Deep Q-Learning based, Base-Station Connectivity-Aware, Decentralized Pheromone Mobility Model for Autonomous UAV Networks
di: Devaraju, Shreyas, et al.
Pubblicazione: (2023)

Deep Learning-based Target-To-User Association in Integrated Sensing and Communication Systems
di: Cazzella, Lorenzo, et al.
Pubblicazione: (2024)

Joint Model Caching and Resource Allocation in Generative AI-Enabled Wireless Edge Networks
di: Liu, Zhang, et al.
Pubblicazione: (2024)

Advanced Mathematical Modelling for Energy-Efficient Data Transmission and Fusion in Wireless Sensor Networks
di: Komal
Pubblicazione: (2024)

Big AI Models for 6G Wireless Networks: Opportunities, Challenges, and Research Directions
di: Chen, Zirui, et al.
Pubblicazione: (2023)