Image de couverture de livre

Self-Supervised Learning for User Localization

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Dash, Ankan, Gu, Jingyi, Wang, Guiling, Ansari, Nirwan
Format:	Preprint
Publié:	2024
Sujets:	Signal Processing Artificial Intelligence Machine Learning Networking and Internet Architecture
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Self-Supervised Radio Pre-training: Toward Foundational Models for Spectrogram Learning
par: Aboulfotouh, Ahmed, et autres
Publié: (2024)

Self-supervised Learning for Clustering of Wireless Spectrum Activity
par: Milosheski, Ljupcho, et autres
Publié: (2022)

RayLoc: Wireless Indoor Localization via Fully Differentiable Ray-tracing
par: Han, Xueqiang, et autres
Publié: (2025)

Emergency Computing: An Adaptive Collaborative Inference Method Based on Hierarchical Reinforcement Learning
par: Fu, Weiqi, et autres
Publié: (2024)

Federated Learning in NTNs: Design, Architecture and Challenges
par: Farajzadeh, Amin, et autres
Publié: (2025)

How to Combat Reactive and Dynamic Jamming Attacks with Reinforcement Learning
par: Sagduyu, Yalin E., et autres
Publié: (2025)

Robust Federated Learning for Wireless Networks: A Demonstration with Channel Estimation
par: Fang, Zexin, et autres
Publié: (2024)

RFRL Gym: A Reinforcement Learning Testbed for Cognitive Radio Applications
par: Rosen, Daniel, et autres
Publié: (2023)

Improving Wi-Fi Network Performance Prediction with Deep Learning Models
par: Formis, Gabriele, et autres
Publié: (2025)

A Disentangled Representation Learning Framework for Low-altitude Network Coverage Prediction
par: Li, Xiaojie, et autres
Publié: (2025)

UCINet0: A Machine Learning based Receiver for 5G NR PUCCH Format 0
par: Sattianarayanin, Jeeva Keshav, et autres
Publié: (2024)

LinFormer: A Linear-based Lightweight Transformer Architecture For Time-Aware MIMO Channel Prediction
par: Jin, Yanliang, et autres
Publié: (2024)

AI Flow at the Network Edge
par: Shao, Jiawei, et autres
Publié: (2024)

5G NR PRACH Detection with Convolutional Neural Networks (CNN): Overcoming Cell Interference Challenges
par: Guel, Desire, et autres
Publié: (2024)

On-Device LLM for Context-Aware Wi-Fi Roaming
par: Lee, Ju-Hyung, et autres
Publié: (2025)

PEARL: Peer-Enhanced Adaptive Radio via On-Device LLM
par: Lee, Ju-Hyung, et autres
Publié: (2025)

MobRFFI: Non-cooperative Device Re-identification for Mobility Intelligence
par: Mazokha, Stepan, et autres
Publié: (2025)

Environment-Aware Indoor LoRaWAN Ranging Using Path Loss Model Inversion and Adaptive RSSI Filtering
par: Obiri, Nahshon Mokua, et autres
Publié: (2025)

Inter-Cell Interference Rejection Based on Ultrawideband Walsh-Domain Wireless Autoencoding
par: Alonso, Rodney Martinez, et autres
Publié: (2026)

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

Multi-User Beamforming with Deep Reinforcement Learning in Sensing-Aided Communication
par: Wang, Xiyu, et autres
Publié: (2025)

Handoff Design in User-Centric Cell-Free Massive MIMO Networks Using DRL
par: Ammar, Hussein A., et autres
Publié: (2025)

Reliability-Optimized User Admission Control for URLLC Traffic: A Neural Contextual Bandit Approach
par: Semiari, Omid, et autres
Publié: (2024)

Deep Learning-based Target-To-User Association in Integrated Sensing and Communication Systems
par: Cazzella, Lorenzo, et autres
Publié: (2024)

Multi-Modality Sensing in mmWave Beamforming for Connected Vehicles Using Deep Learning
par: Mollah, Muhammad Baqer, et autres
Publié: (2025)

Improved Indoor Localization with Machine Learning Techniques for IoT applications
par: Maduranga, M. W. P.
Publié: (2024)

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

Joint Sensing and Semantic Communications with Multi-Task Deep Learning
par: Sagduyu, Yalin E., et autres
Publié: (2023)

A Unified Deep Transfer Learning Model for Accurate IoT Localization in Diverse Environments
par: Ahmed, Abdullahi Isa, et autres
Publié: (2024)

Graph Representation Learning for Contention and Interference Management in Wireless Networks
par: Gu, Zhouyou, et autres
Publié: (2024)

Green Learning for STAR-RIS mmWave Systems with Implicit CSI
par: Huang, Yu-Hsiang, et autres
Publié: (2025)

Adversarial Attack and Defense for LoRa Device Identification and Authentication via Deep Learning
par: Sagduyu, Yalin E., et autres
Publié: (2024)

Graph Reinforcement Learning for QoS-Aware Load Balancing in Open Radio Access Networks
par: Semiari, Omid, et autres
Publié: (2025)

A Multi-Task Foundation Model for Wireless Channel Representation Using Contrastive and Masked Autoencoder Learning
par: Guler, Berkay, et autres
Publié: (2025)

Joint User and Data Detection in Grant-Free NOMA with Attention-based BiLSTM Network
par: Khan, Saud, et autres
Publié: (2022)

Dataset of Pathloss and ToA Radio Maps With Localization Application
par: Yapar, Çağkan, et autres
Publié: (2022)

Insights from the Design Space Exploration of Flow-Guided Nanoscale Localization
par: Lemic, Filip, et autres
Publié: (2023)

FeMLoc: Federated Meta-learning for Adaptive Wireless Indoor Localization Tasks in IoT Networks
par: Etiabi, Yaya, et autres
Publié: (2024)

Edge AI-based Radio Frequency Fingerprinting for IoT Networks
par: Hussain, Ahmed Mohamed, et autres
Publié: (2024)

Sustainable LSTM-Based Precoding for RIS-Aided mmWave MIMO Systems with Implicit CSI
par: Chou, Po-Heng, et autres
Publié: (2025)