LLMNet: IEEE LCN 2025 Special Track on Large Language Models and Networking

Call For Papers

SUBMISSION DEADLINE: June 1, 2025 (AoE)

Scope and Topics

Large Language Models (LLMs) and Generative AI (GenAI) have rapidly advanced in language modelling and related tasks, with their applications now expanding into various other domains. In networking, LLMs and their variants have the potential to address key challenges such as traffic management and classification, configuration management, network migration, and scheduling. However, their full potential in networking remains largely underexplored. This special track aims to foster research in this emerging area and bring together the international networking research community working on LLM-driven solutions.

Topics

The topics of interest include, but are not limited to:

• LLM Applications in Network Operations
• LLMs for traffic prediction and management
• LLM-driven anomaly and fault detection in networks
• LLMs for Network Security and Privacy
• LLMs for detecting malware in network traffic
• LLMs in Networked System Optimization
• LLM-guided routing and congestion control
• Machine-to-machine LLM
• Network configuration and optimization through Large GenAI models
• Benchmarking reasoning and planning capabilities for Networks
• Network configuration and optimization through Large GenAI models
• Large GenAI models for resource allocation and quality of service optimization
• Large GenAI models for network fault diagnosis and troubleshooting
• LLMs for network performance prediction
• LLMs for network protocol design
• Scheduling and load balancing with LLMs
• QoS/QoE prediction and optimization using LLMs
• Natural Language Interfaces for Network Management
• Using LLMs to generate network configurations from natural language
• Troubleshooting and diagnostics through conversational interfaces
• LLMs in Mobile and Wireless Networking
• Adaptive LLMs for edge and mobile scenarios
• LLMs for device mobility prediction and handover optimization
• Federated learning with LLMs in wireless networks
• LLMs and Network Data Analytics
• Summarization of network incidents and logs via LLMs
• Automated documentation and change logs using LLMs
• Efficient fine-tuning and inference of LLMs in network environments
• Deployment of LLMs at the edge, in routers, or programmable switches
• LLMs for Emerging Network Architectures
• Use of LLMs in Software-Defined Networking (SDN) and Network Function Virtualization (NFV)
• LLMs for programmable networks and intent-based networking
• LLM Applications in 6G, IoT, and space-terrestrial integrated networks
• Datasets and benchmarks for evaluating LLMs in networking
• Explainability and interpretability of LLMs in networking tasks
• Human-in-the-loop evaluation frameworks
• Multi-modal models for networking (e.g., combining text, telemetry, and packet traces)
• Ethical considerations, fairness, and bias in LLM-driven network operations
• LLMs for cybersecurity education and training in networked environments

Submission guidelines

• via EDAS: https://lcn2025-llmn.edas.info/
• Paper submissions may be up to six (6) pages (excl. references)
• In two-column IEEE style
• For accepted papers one author needs to register for attending the conference, and present the paper. Please see more details at the LCN website – https://www.ieeelcn.org/Author_NoShow.html

Important dates

• Paper Registration: May 25, 2025
• Paper Submission Deadline: Jun 1, 2025
• Paper Acceptance Notification: July 1, 2025
• Camera-ready Papers Due: August 1, 2025

Special Track Organizers

Track Chairs

• Suranga Seneviratne – The University of Sydney
• Madhusanka Liyanage – University College Dublin

Publicity chiar

• Fariza Rashid – The University of Sydney

Technical Program Committee

• Chamara Kattadige – RMIT University
• Engin Zeydan – Centre Tecnològic de Telecomunicacions de Catalunya
• Minzhao Lyu – The University of New South Wales
• Muhammad Ikram – Macquarie University
• Shen Wang – University College of Dublin
• Surangika Ranathunga  – Massey University
• Thilina Weerasinghe – University of Ruhuna
• Gustavo Batista – The University of New South Wales
• Michell Boerger – Fraunhofer Institute for Open Communication Systems
• Ying Li – North China University of Technology
• Hooman Alavizadeh – La Trobe University