Buchumschlag

Large Language Model (LLM)-enabled In-context Learning for Wireless Network Optimization: A Case Study of Power Control

Fuente: arXiv

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Zhou, Hao, Hu, Chengming, Yuan, Dun, Yuan, Ye, Wu, Di, Liu, Xue, Zhang, Charlie
Format:	Preprint
Veröffentlicht:	2024
Schlagworte:	Systems and Control
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

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

Prompting Wireless Networks: Reinforced In-Context Learning for Power Control
von: Zhou, Hao, et al.
Veröffentlicht: (2025)

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

Large Language Models for Wireless Networks: An Overview from the Prompt Engineering Perspective
von: Zhou, Hao, et al.
Veröffentlicht: (2024)

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

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

Hierarchical Debate-Based Large Language Model (LLM) for Complex Task Planning of 6G Network Management
von: Lin, Yuyan, et al.
Veröffentlicht: (2025)

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

Data-Driven Analysis and Predictive Control of Descriptor Systems with Application to Power and Water Networks
von: Zhang, Yuan, et al.
Veröffentlicht: (2025)

Subspace Optimization for Large Language Models with Convergence Guarantees
von: He, Yutong, et al.
Veröffentlicht: (2024)

Power Allocation for Delay Optimization in Device-to-Device Networks: A Graph Reinforcement Learning Approach
von: Fang, Hao, et al.
Veröffentlicht: (2025)

Large Language Model (LLM)-enabled Reinforcement Learning for Wireless Network Optimization
von: Zheng, Jie, et al.
Veröffentlicht: (2026)

MARS: Unleashing the Power of Variance Reduction for Training Large Models
von: Yuan, Huizhuo, et al.
Veröffentlicht: (2024)

Resource Optimization for Tail-Based Control in Wireless Networked Control Systems
von: Vijithasena, Rasika, et al.
Veröffentlicht: (2024)

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

Hybrid Control of ADT Switched Linear Systems subject to Actuator Saturation
von: Wu, Fen, et al.
Veröffentlicht: (2026)

Sequencing-enabled Hierarchical Cooperative CAV On-ramp Merging Control with Enhanced Stability and Feasibility
von: Li, Sixu, et al.
Veröffentlicht: (2023)

Mixed-Integer Optimal Control via Reinforcement Learning: A Case Study on Hybrid Electric Vehicle Energy Management
von: Xu, Jinming, et al.
Veröffentlicht: (2023)

Mixed‐Integer Optimal Control via Reinforcement Learning: A Case Study on Hybrid Electric Vehicle Energy Management
von: Jinming Xu, et al.
Veröffentlicht: (2024)

Enhancing Large Language Models (LLMs) for Telecommunications using Knowledge Graphs and Retrieval-Augmented Generation
von: Yuan, Dun, et al.
Veröffentlicht: (2025)

Large Language Model Powered Automated Modeling and Optimization of Active Distribution Network Dispatch Problems
von: Yang, Xu, et al.
Veröffentlicht: (2025)

Design of Grid Forming Multi Timescale Coordinated Control Strategies for Dynamic Virtual Power Plants
von: Tong, Yan, et al.
Veröffentlicht: (2026)

Generalized Global Self-Optimizing Control for Chemical Processes: Part II Objective-Guided Controlled Variable Learning Approach
von: Zhou, Chenchen, et al.
Veröffentlicht: (2026)

Stratospheric Grid: A Wireless Power Transfer Enabled HAP Network with Integrated Generation-Grid-Load-Storage Functions
von: Wang, Peng, et al.
Veröffentlicht: (2025)

PolarNet: Single-Minima Neural Network for Modeling Lyapunov Functions
von: Zhong, Yuan, et al.
Veröffentlicht: (2026)

Mitigating the Impact of Uncertain Wildfire Risk on Power Grids through Topology Control
von: Zhou, Yuqi, et al.
Veröffentlicht: (2023)

Traffic Signal Control and Speed Offset Coordination Using Q-Learning for Arterial Road Networks
von: Yuan, Tianchen, et al.
Veröffentlicht: (2024)

Controlling the Wireless Power Transfer Mechanism of the Both-Sides Retrodirective System
von: Ambatali, Charleston Dale M., et al.
Veröffentlicht: (2024)

Deep Reinforcement Learning-Aided Frequency Control of LCC-S Resonant Converters for Wireless Power Transfer Systems
von: Safari, Reza, et al.
Veröffentlicht: (2025)

Analytically Characterized Optimal Power Control for Signal-Level-Integrated Sensing, Computing and Communication in Federated Learning
von: Zheng, Paul, et al.
Veröffentlicht: (2026)

Necessary Optimality Conditions for Integrated Learning and Optimization Problem in Contextual Optimization
von: Tao, Yuan, et al.
Veröffentlicht: (2026)

Communication-Control Codesign for Large-Scale Wireless Networked Control Systems
von: Pang, Gaoyang, et al.
Veröffentlicht: (2024)

Mean Field Games for Controlling Coherent Structures in Nonlinear Fluid Systems
von: Gao, Yuan, et al.
Veröffentlicht: (2024)

AI-CDA4All: Democratizing Cooperative Autonomous Driving for All Drivers via Affordable Dash-cam Hardware and Open-source AI Software
von: Yuan, Shengming, et al.
Veröffentlicht: (2025)

Internet of Things Networks: Enabling Simultaneous Wireless Information and Power Transfer
von: Dhull, Prerna, et al.
Veröffentlicht: (2024)

Experimental Study of Transport Layer Protocols for Wireless Networked Control Systems
von: Kutsevol, Polina, et al.
Veröffentlicht: (2023)

From PowerSGD to PowerSGD+: Low-Rank Gradient Compression for Distributed Optimization with Convergence Guarantees
von: Xie, Shengping, et al.
Veröffentlicht: (2025)

Data-driven Modeling of Linearizable Power Flow for Large-scale Grid Topology Optimization
von: Cho, Young-ho, et al.
Veröffentlicht: (2024)

Adaptive Resource Allocation Optimization Using Large Language Models in Dynamic Wireless Environments
von: Noh, Hyeonho, et al.
Veröffentlicht: (2025)

AOLO: Analysis and Optimization For Low-Carbon Oriented Wireless Large Language Model Services
von: Wang, Xiaoqi, et al.
Veröffentlicht: (2025)