Cover Image

AI Flow at the Network Edge

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Shao, Jiawei, Li, Xuelong
Format:	Preprint
Published:	2024
Subjects:	Signal Processing Artificial Intelligence Machine Learning Networking and Internet Architecture
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Edge AI-based Radio Frequency Fingerprinting for IoT Networks
by: Hussain, Ahmed Mohamed, et al.
Published: (2024)

Edge AI as a Service with Coordinated Deep Neural Networks
by: Maleki, Alireza, et al.
Published: (2024)

Probabilistic Forecasting for Network Resource Analysis in Integrated Terrestrial and Non-Terrestrial Networks
by: Vaca-Rubio, Cristian J., et al.
Published: (2025)

A Disentangled Representation Learning Framework for Low-altitude Network Coverage Prediction
by: Li, Xiaojie, et al.
Published: (2025)

Edge Large AI Models: Revolutionizing 6G Networks
by: Wang, Zixin, et al.
Published: (2025)

Robust Federated Learning for Wireless Networks: A Demonstration with Channel Estimation
by: Fang, Zexin, et al.
Published: (2024)

Improving Wi-Fi Network Performance Prediction with Deep Learning Models
by: Formis, Gabriele, et al.
Published: (2025)

5G NR PRACH Detection with Convolutional Neural Networks (CNN): Overcoming Cell Interference Challenges
by: Guel, Desire, et al.
Published: (2024)

Emergency Computing: An Adaptive Collaborative Inference Method Based on Hierarchical Reinforcement Learning
by: Fu, Weiqi, et al.
Published: (2024)

Self-Supervised Learning for User Localization
by: Dash, Ankan, et al.
Published: (2024)

UCINet0: A Machine Learning based Receiver for 5G NR PUCCH Format 0
by: Sattianarayanin, Jeeva Keshav, et al.
Published: (2024)

Self-Supervised Radio Pre-training: Toward Foundational Models for Spectrogram Learning
by: Aboulfotouh, Ahmed, et al.
Published: (2024)

LinFormer: A Linear-based Lightweight Transformer Architecture For Time-Aware MIMO Channel Prediction
by: Jin, Yanliang, et al.
Published: (2024)

RFRL Gym: A Reinforcement Learning Testbed for Cognitive Radio Applications
by: Rosen, Daniel, et al.
Published: (2023)

On-Device LLM for Context-Aware Wi-Fi Roaming
by: Lee, Ju-Hyung, et al.
Published: (2025)

PEARL: Peer-Enhanced Adaptive Radio via On-Device LLM
by: Lee, Ju-Hyung, et al.
Published: (2025)

How to Combat Reactive and Dynamic Jamming Attacks with Reinforcement Learning
by: Sagduyu, Yalin E., et al.
Published: (2025)

MobRFFI: Non-cooperative Device Re-identification for Mobility Intelligence
by: Mazokha, Stepan, et al.
Published: (2025)

Self-supervised Learning for Clustering of Wireless Spectrum Activity
by: Milosheski, Ljupcho, et al.
Published: (2022)

Federated Learning in NTNs: Design, Architecture and Challenges
by: Farajzadeh, Amin, et al.
Published: (2025)

Environment-Aware Indoor LoRaWAN Ranging Using Path Loss Model Inversion and Adaptive RSSI Filtering
by: Obiri, Nahshon Mokua, et al.
Published: (2025)

Inter-Cell Interference Rejection Based on Ultrawideband Walsh-Domain Wireless Autoencoding
by: Alonso, Rodney Martinez, et al.
Published: (2026)

RayLoc: Wireless Indoor Localization via Fully Differentiable Ray-tracing
by: Han, Xueqiang, et al.
Published: (2025)

Enabling AI-Native Mobility in 6G: A Real-World Dataset for Handover, Beam Management, and Timing Advance
by: Narayana, Mannam Veera, et al.
Published: (2026)

A Wireless World Model for AI-Native 6G Networks
by: Chen, Ziqi, et al.
Published: (2026)

Sensor Placement for Learning in Flow Networks
by: Burudgunte, Arnav, et al.
Published: (2023)

Computation Offloading for Multi-server Multi-access Edge Vehicular Networks: A DDQN-based Method
by: Wang, Siyu, et al.
Published: (2024)

CacheMamba: Popularity Prediction for Mobile Edge Caching Networks via Selective State Spaces
by: Kianfar, Ghazaleh, et al.
Published: (2025)

Semantic Edge Computing and Semantic Communications in 6G Networks: A Unifying Survey and Research Challenges
by: Zhang, Milin, et al.
Published: (2024)

Overview of AI and Communication for 6G Network: Fundamentals, Challenges, and Future Research Opportunities
by: Cui, Qimei, et al.
Published: (2024)

Integration of AI in Cybersecurity: Current Trends with a Focused Look at Intrusion Detection Applications
by: Tazili, S., et al.
Published: (2026)

Handoff Design in User-Centric Cell-Free Massive MIMO Networks Using DRL
by: Ammar, Hussein A., et al.
Published: (2025)

Graph Reinforcement Learning for QoS-Aware Load Balancing in Open Radio Access Networks
by: Semiari, Omid, et al.
Published: (2025)

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

AI-RAN: Transforming RAN with AI-driven Computing Infrastructure
by: Kundu, Lopamudra, et al.
Published: (2025)

Emergency Caching: Coded Caching-based Reliable Map Transmission in Emergency Networks
by: Tian, Zeyu, et al.
Published: (2024)

Wireless Resource Management in Intelligent Semantic Communication Networks
by: Xia, Le, et al.
Published: (2022)

WirelessAgent++: Automated Agentic Workflow Design and Benchmarking for Wireless Networks
by: Tong, Jingwen, et al.
Published: (2026)

5G Positioning Advancements with AI/ML
by: Alawieh, Mohammad, et al.
Published: (2023)

SemantIC: Semantic Interference Cancellation Towards 6G Wireless Communications
by: Lin, Wensheng, et al.
Published: (2023)