MINT: Modeling GenAI Impact on Network Traffic
cs.NI, cs.SY, eess.SY
Submitted: 2026-09-28
Updated: 2026-09-28
Code: https://github.com/wayslab/LLM-Network-Study3https:
Terminology
Sources
- Introducing Large Language Models as the Next Challenging Internet Traffic Source
- A Comprehensive Survey on Network Traffic Synthesis: From Statistical Models to Deep Learning
- Revisiting Service Level Objectives and System Level Metrics in Large Language Model Serving
- Qwen3 Technical Report
Related papers
- HiFiNet: Hierarchical Fault Identification in Wireless Sensor Networks via Edge-Based Classification and Graph Aggregation
- PACC: Protocol-Aware Cross-Layer Compression for Compact Network Traffic Representation
- TraceCodec: A Compiler-Backed Neural Codec for Network Traffic Traces
- Embodied AI in 6G Networks: From Intelligent Connectivity to Physical Intelligence
- Lightweight GenAI for Network Traffic Generation: Fidelity, Augmentation, and Classification
- NetRL: Powering Network Decisions via NetGRPO-Driven Reinforcement Learning