Image de couverture de livre

Algorithm for AGC index management against crowded radio environment

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Joly, Morgane, Rivière, Fabian, Renault, Éric
Format:	Preprint
Publié:	2024
Sujets:	Networking and Internet Architecture Artificial Intelligence Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

HEAT:History-Enhanced Dual-phase Actor-Critic Algorithm with A Shared Transformer
par: Yang, Hong
Publié: (2025)

NetArena: Dynamic Benchmarks for AI Agents in Network Automation
par: Zhou, Yajie, et autres
Publié: (2025)

Generalized Multi-Objective Reinforcement Learning with Envelope Updates in URLLC-enabled Vehicular Networks
par: Yan, Zijiang, et autres
Publié: (2024)

An Agile Adaptation Method for Multi-mode Vehicle Communication Networks
par: He, Shiwen, et autres
Publié: (2024)

Robust Generalization of Graph Neural Networks for Carrier Scheduling
par: Perez-Ramirez, Daniel F., et autres
Publié: (2024)

Generative AI Enabled Matching for 6G Multiple Access
par: Wang, Xudong, et autres
Publié: (2024)

Heterogeneous Multi-Agent Reinforcement Learning for Distributed Channel Access in WLANs
par: Yu, Jiaming, et autres
Publié: (2024)

LoLaFL: Low-Latency Federated Learning via Forward-only Propagation
par: Zhang, Jierui, et autres
Publié: (2024)

Smart Routing with Precise Link Estimation: DSEE-Based Anypath Routing for Reliable Wireless Networking
par: Nourzad, Narjes, et autres
Publié: (2024)

Distributed Swarm Learning for Edge Internet of Things
par: Wang, Yue, et autres
Publié: (2024)

Active ML for 6G: Towards Efficient Data Generation, Acquisition, and Annotation
par: Alhussein, Omar, et autres
Publié: (2024)

Beyond 5G Network Failure Classification for Network Digital Twin Using Graph Neural Network
par: Isah, Abubakar, et autres
Publié: (2024)

NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics
par: Zhou, Jiawei, et autres
Publié: (2024)

Fine-grained graph representation learning for heterogeneous mobile networks with attentive fusion and contrastive learning
par: Liu, Shengheng, et autres
Publié: (2024)

Online SLA Decomposition: Enabling Real-Time Adaptation to Evolving Network Systems
par: Hsu, Cyril Shih-Huan, et autres
Publié: (2024)

Transfer Learning with Reconstruction Loss
par: Cui, Wei, et autres
Publié: (2024)

A YANG-aided Unified Strategy for Black Hole Detection for Backbone Networks
par: Ak, Elif, et autres
Publié: (2024)

Fair Resource Allocation in Virtualized O-RAN Platforms
par: Aslan, Fatih, et autres
Publié: (2024)

A Survey on Large Language Models for Communication, Network, and Service Management: Application Insights, Challenges, and Future Directions
par: Boateng, Gordon Owusu, et autres
Publié: (2024)

Optimizing Vehicular Networks with Variational Quantum Circuits-based Reinforcement Learning
par: Yan, Zijiang, et autres
Publié: (2024)

PCAPVision: PCAP-Based High-Velocity and Large-Volume Network Failure Detection
par: Tulczyjew, Lukasz, et autres
Publié: (2024)

Urban Region Embeddings from Service-Specific Mobile Traffic Data
par: Loddi, Giulio, et autres
Publié: (2024)

Enhancing Sustainable Urban Mobility Prediction with Telecom Data: A Spatio-Temporal Framework Approach
par: Lin, ChungYi, et autres
Publié: (2024)

Traffic Learning and Proactive UAV Trajectory Planning for Data Uplink in Markovian IoT Models
par: Eldeeb, Eslam, et autres
Publié: (2024)

Continual Deep Reinforcement Learning to Prevent Catastrophic Forgetting in Jamming Mitigation
par: Davaslioglu, Kemal, et autres
Publié: (2024)

Adaptive Split Learning over Energy-Constrained Wireless Edge Networks
par: Li, Zuguang, et autres
Publié: (2024)

Mobile Edge Intelligence for Large Language Models: A Contemporary Survey
par: Qu, Guanqiao, et autres
Publié: (2024)

Enhancement of High-definition Map Update Service Through Coverage-aware and Reinforcement Learning
par: Redondo, Jeffrey, et autres
Publié: (2024)

AgroXAI: Explainable AI-Driven Crop Recommendation System for Agriculture 4.0
par: Turgut, Ozlem, et autres
Publié: (2024)

FLEXIBLE: Forecasting Cellular Traffic by Leveraging Explicit Inductive Graph-Based Learning
par: Ngo, Duc Thinh, et autres
Publié: (2024)

Intelligent Hybrid Resource Allocation in MEC-assisted RAN Slicing Network
par: Zheng, Chong, et autres
Publié: (2024)

Integration of Mixture of Experts and Multimodal Generative AI in Internet of Vehicles: A Survey
par: Xu, Minrui, et autres
Publié: (2024)

Toward Time-Continuous Data Inference in Sparse Urban CrowdSensing
par: Sun, Ziyu, et autres
Publié: (2024)

NetworkGym: Reinforcement Learning Environments for Multi-Access Traffic Management in Network Simulation
par: Haider, Momin, et autres
Publié: (2024)

WirelessLLM: Empowering Large Language Models Towards Wireless Intelligence
par: Shao, Jiawei, et autres
Publié: (2024)

Dynamic D2D-Assisted Federated Learning over O-RAN: Performance Analysis, MAC Scheduler, and Asymmetric User Selection
par: Abdisarabshali, Payam, et autres
Publié: (2024)

Neural Representation for Wireless Radiation Field Reconstruction: A 3D Gaussian Splatting Approach
par: Wen, Chaozheng, et autres
Publié: (2024)

Telecom Foundation Models: Applications, Challenges, and Future Trends
par: Zanouda, Tahar, et autres
Publié: (2024)

A Plug-in Tiny AI Module for Intelligent and Selective Sensor Data Transmission
par: Huang, Wenjun, et autres
Publié: (2024)

At the Dawn of Generative AI Era: A Tutorial-cum-Survey on New Frontiers in 6G Wireless Intelligence
par: Celik, Abdulkadir, et autres
Publié: (2024)