4 papers
WiCo-PG: Wireless Channel Foundation Model for Pathloss Map Generation via Synesthesia of Machines
Mingran Sun, Lu Bai, Ziwei Huang +3
A wireless channel foundation model for pathloss map generation (WiCo-PG) via Synesthesia of Machines (SoM) is developed for the first time. Considering sixth-generation (6G) uncre…
LLM4PG: Adapting Large Language Model for Pathloss Map Generation via Synesthesia of Machines
Mingran Sun, Lu Bai, Xiang Cheng +1
In this paper, a novel large language model (LLM)-based pathloss map generation model, termed LLM4PG, is proposed for sixth-generation (6G) AI-native communication systems via Syne…
SynthSoM: A synthetic intelligent multi-modal sensing-communication dataset for Synesthesia of Machines (SoM)
Xiang Cheng, Ziwei Huang, Yong Yu +5
Given the importance of datasets for sensing-communication integration research, a novel simulation platform for constructing communication and multi-modal sensory dataset is devel…
Multi-Modal Intelligent Channel Modeling: A New Modeling Paradigm via Synesthesia of Machines
Lu Bai, Ziwei Huang, Mingran Sun +2
In the future sixth-generation (6G) era, to support accurate localization sensing and efficient communication link establishment for intelligent agents, a comprehensive understandi…