:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Lin, Yuyan, Zhou, Hao, Hu, Chengming, Liu, Xue, Chen, Hao, Xin, Yan, Jianzhong, Zhang
Format:	Preprint
Published:	2025
Subjects:	Systems and Control
Online Access:	https://arxiv.org/abs/2506.06519
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

An Overview of Machine Learning-Enabled Optimization for Reconfigurable Intelligent Surfaces-Aided 6G Networks: From Reinforcement Learning to Large Language Models
by: Zhou, Hao, et al.
Published: (2024)

Understanding 6G through Language Models: A Case Study on LLM-aided Structured Entity Extraction in Telecom Domain
by: Yuan, Ye, et al.
Published: (2025)

Large Language Model (LLM)-enabled In-context Learning for Wireless Network Optimization: A Case Study of Power Control
by: Zhou, Hao, et al.
Published: (2024)

Generative AI as a Service in 6G Edge-Cloud: Generation Task Offloading by In-context Learning
by: Zhou, Hao, et al.
Published: (2024)

Self-Refined Generative Foundation Models for Wireless Traffic Prediction
by: Hu, Chengming, et al.
Published: (2024)

Large Language Model (LLM) for Telecommunications: A Comprehensive Survey on Principles, Key Techniques, and Opportunities
by: Zhou, Hao, et al.
Published: (2024)

Hierarchical and Collaborative LLM-Based Control for Multi-UAV Motion and Communication in Integrated Terrestrial and Non-Terrestrial Networks
by: Yan, Zijiang, et al.
Published: (2025)

Hierarchical LLM-Driven Control for HAPS-Assisted UAV Networks: Joint Optimization of Flight and Connectivity
by: Yan, Zijiang, et al.
Published: (2026)

Large Language Model-Assisted Planning of Electric Vehicle Charging Infrastructure with Real-World Case Study
by: Zheng, Xinda, et al.
Published: (2025)

A Hierarchical DRL Approach for Resource Optimization in Multi-RIS Multi-Operator Networks
by: Zhang, Haocheng, et al.
Published: (2024)

Network Models of Expertise in the Complex Task of Operating Particle Accelerators
by: Rahman, Roussel, et al.
Published: (2024)

PE-GPT: A Physics-Informed Interactive Large Language Model for Power Converter Modulation Design
by: Lin, Fanfan, et al.
Published: (2024)

Training Task Reasoning LLM Agents for Multi-turn Task Planning via Single-turn Reinforcement Learning
by: Hu, Hanjiang, et al.
Published: (2025)

LINKs: Large Language Model Integrated Management for 6G Empowered Digital Twin NetworKs
by: Jiang, Shufan, et al.
Published: (2024)

Automatic Robot Task Planning by Integrating Large Language Model with Genetic Programming
by: Kobilov, Azizjon, et al.
Published: (2025)

Hybrid LLM-DDQN based Joint Optimization of V2I Communication and Autonomous Driving
by: Yan, Zijiang, et al.
Published: (2024)

Learning Reactive Dexterous Grasping via Hierarchical Task-Space RL Planning and Joint-Space QP Control
by: Lee, Ho Jae, et al.
Published: (2026)

Research on Adaptive Inertial Control in Synchronization Systems: Based on Variational Optimization Methods and Their Applications in the Stability of Complex Networks
by: Zhou, Yiwei, et al.
Published: (2026)

Resource Allocation in Large Language Model Integrated 6G Vehicular Networks
by: Liu, Chang, et al.
Published: (2024)

CurricuLLM: Automatic Task Curricula Design for Learning Complex Robot Skills using Large Language Models
by: Ryu, Kanghyun, et al.
Published: (2024)

SwarmCVT: Centroidal Voronoi Tessellation-Based Path Planning for Very-Large-Scale Robotics
by: Gao, James, et al.
Published: (2024)

Safety-Aware Reinforcement Learning for Electric Vehicle Charging Station Management in Distribution Network
by: Fan, Jiarong, et al.
Published: (2024)

MPC-Based Precision Cooling Strategy (PCS) for Efficient Thermal Management of Automotive Air Conditioning System
by: Wang, Hao, et al.
Published: (2019)

The State of the Art in transformer fault diagnosis with artificial intelligence and Dissolved Gas Analysis: A Review of the Literature
by: Li, Yuyan
Published: (2023)

Sampling-Based Hierarchical Trajectory Planning for Formation Flight
by: Liu, Qingzhao, et al.
Published: (2024)

Efficient Planning in Large-scale Systems Using Hierarchical Finite State Machines
by: Stefansson, Elis, et al.
Published: (2025)

AI-Native Network Digital Twin for Intelligent Network Management in 6G
by: Wu, Wen, et al.
Published: (2024)

From Legacy to Leadership Intelligent Radio Network Planning Framework for Cell-Free Massive MIMO in B5G6G Era
by: Farré, Valdemar, et al.
Published: (2025)

A Two-Stage AI-Powered Motif Mining Method for Efficient Power System Topological Analysis
by: Li, Yiyan, et al.
Published: (2024)

Hierarchical Reinforcement Learning Framework for Stochastic Spaceflight Campaign Design
by: Takubo, Yuji, et al.
Published: (2021)

A Survey of Beam Management for mmWave and THz Communications Towards 6G
by: Xue, Qing, et al.
Published: (2023)

Advanced Intelligent Optimization Algorithms for Multi-Objective Optimal Power Flow in Future Power Systems: A Review
by: Li, Yuyan
Published: (2024)

Timed-Elastic-Band Based Variable Splitting for Autonomous Trajectory Planning
by: Zhu, Hao, et al.
Published: (2024)

Optimized Contact Plan Design for Reflector and Phased Array Terminals in Cislunar Space Networks
by: Yan, Huan, et al.
Published: (2025)

Incremental DRL-Based Resource Management for Dynamic Network Slicing in an Urban-Wide Testbed
by: Li, Haiyuan, et al.
Published: (2023)

Agent-Based Decentralized Energy Management of EV Charging Station with Solar Photovoltaics via Multi-Agent Reinforcement Learning
by: Fan, Jiarong, et al.
Published: (2025)

Traffic-aware Hierarchical Integrated Thermal and Energy Management for Connected HEVs
by: Han, Jie, et al.
Published: (2026)

AI/ML for Beam Management in 5G-Advanced: A Standardization Perspective
by: Xue, Qing, et al.
Published: (2023)

Optimal Task and Motion Planning for Autonomous Systems Using Petri Nets
by: He, Zhou, et al.
Published: (2025)

Goal-Oriented Semantic Communications for 6G Networks
by: Zhou, Hui, et al.
Published: (2022)