Copertina

Bridge to Real Environment with Hardware-in-the-loop for Wireless Artificial Intelligence Paradigms

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Redondo, Jeffrey, Aslam, Nauman, Zhang, Juan, Yuan, Zhenhui
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Machine Learning Networking and Internet Architecture Signal Processing
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Coverage-aware and Reinforcement Learning Using Multi-agent Approach for HD Map QoS in a Realistic Environment
di: Redondo, Jeffrey, et al.
Pubblicazione: (2024)

Enhancement of High-definition Map Update Service Through Coverage-aware and Reinforcement Learning
di: Redondo, Jeffrey, et al.
Pubblicazione: (2024)

Optimizing QoS in HD Map Updates: Cross-Layer Multi-Agent with Hierarchical and Independent Learning
di: Redondo, Jeffrey, et al.
Pubblicazione: (2024)

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

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

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

Artificial Intelligence, Ambient Backscatter Communication and Non-Terrestrial Networks: A 6G Commixture
di: Jamshed, Muhammad Ali, et al.
Pubblicazione: (2025)

Empowering Wireless Network Applications with Deep Learning-based Radio Propagation Models
di: Bakirtzis, Stefanos, et al.
Pubblicazione: (2024)

Differentiable and Learnable Wireless Simulation with Geometric Transformers
di: Hehn, Thomas, et al.
Pubblicazione: (2024)

Multi-user Wireless Image Semantic Transmission over MIMO Multiple Access Channels
di: Xie, Bingyan, et al.
Pubblicazione: (2025)

SAFE: Semantic Adaptive Feature Extraction with Rate Control for 6G Wireless Communications
di: Yan, Yuna, et al.
Pubblicazione: (2024)

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)

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

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

NMformer: A Transformer for Noisy Modulation Classification in Wireless Communication
di: Faysal, Atik, et al.
Pubblicazione: (2024)

Federated Machine Learning for Intelligent IoT via Reconfigurable Intelligent Surface
di: Yang, Kai, et al.
Pubblicazione: (2020)

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

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

Teacher-Student Learning based Low Complexity Relay Selection in Wireless Powered Communications
di: Onalan, Aysun Gurur, 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)

A CSI Dataset for Wireless Human Sensing on 80 MHz Wi-Fi Channels
di: Meneghello, Francesca, et al.
Pubblicazione: (2023)

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

Colosseum as a Digital Twin: Bridging Real-World Experimentation and Wireless Network Emulation
di: Villa, Davide, et al.
Pubblicazione: (2023)

Multiple Access in the Era of Distributed Computing and Edge Intelligence
di: Evgenidis, Nikos G., et al.
Pubblicazione: (2024)

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

Memory-Augmented Generative AI for Real-time Wireless Prediction in Dynamic Industrial Environments
di: Gulia, Rahul, et al.
Pubblicazione: (2025)

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

A Unified Deep Transfer Learning Model for Accurate IoT Localization in Diverse Environments
di: Ahmed, Abdullahi Isa, et al.
Pubblicazione: (2024)

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

Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications
di: Letaief, Khaled B., et al.
Pubblicazione: (2021)

A Multi-Modal Simulation Framework to Enable Digital Twin-based V2X Communications in Dynamic Environments
di: Cazzella, Lorenzo, et al.
Pubblicazione: (2023)

A Statistical Evaluation of Indoor LoRaWAN Environment-Aware Propagation for 6G: MLR, ANOVA, and Residual Distribution Analysis
di: Obiri, Nahshon Mokua, et al.
Pubblicazione: (2025)

SGP-RI: A Real-Time-Trainable and Decentralized IoT Indoor Localization Model Based on Sparse Gaussian Process with Reduced-Dimensional Inputs
di: Tang, Zhe, et al.
Pubblicazione: (2024)

Shadow Wireless Intelligence: Large Language Model-Driven Reasoning in Covert Communications
di: Xie, Yuanai, et al.
Pubblicazione: (2025)

CSIT-Free Model Aggregation for Federated Edge Learning via Reconfigurable Intelligent Surface
di: Liu, Hang, et al.
Pubblicazione: (2021)

Reconfigurable Intelligent Surface Empowered Over-the-Air Federated Edge Learning
di: Liu, Hang, et al.
Pubblicazione: (2021)

An Efficient Wireless Channel Estimation Model for Environment Sensing
di: Zaidi, Zainab, et al.
Pubblicazione: (2024)

Reconfigurable Intelligent Surface Enabled Federated Learning: A Unified Communication-Learning Design Approach
di: Liu, Hang, et al.
Pubblicazione: (2020)

Air Computing: A Survey on a New Generation Computation Paradigm in 6G Wireless Networks
di: Yamansavascilar, Baris, et al.
Pubblicazione: (2022)

Active Reconfigurable Intelligent Surface-Aided Terahertz Wireless Communications
di: Khalid, Waqas, et al.
Pubblicazione: (2024)