lmm-emm

The official repository of
"Large multimodal model-based environment-aware mobility management", submitted to IEEE Transactions on Wireless Communications,
"Large multimodal model-aided geometry-aware mobility management for 6G ultra-dense networks", In Proc. IEEE Global Communication Conference 2025.

We have uploaded the channel capacity map (CCM) estimation stage.

You can download the fine-tuned models from the Google Drive link provided below
(Download the entire folder and place it in your working directory):
https://drive.google.com/drive/folders/1421VRr8qUCLPGmgwBSQ8GmtMHq9ooBeP?usp=sharing
https://drive.google.com/drive/folders/1qyWtTl51kjruP_Psrj7bFMWDcvId5DE7?usp=sharing

Usage

1. Clone Repository

git clone https://github.com/SeokhyunJeong/lmm-emm.git
cd lmm-emm

2. Install Requirements

pip install -r requirements.txt

3. Download fine-tuned models

You can download the fine-tuned models from the Google Drive link provided below
(Download the entire folder and place it in your working directory): https://drive.google.com/drive/folders/1421VRr8qUCLPGmgwBSQ8GmtMHq9ooBeP?usp=sharing
https://drive.google.com/drive/folders/1qyWtTl51kjruP_Psrj7bFMWDcvId5DE7?usp=sharing

4. Run inference file

python inference.py

Updates

• 2025-11-24: Added requirements.txt
• 2025-11-19: Opened the lmm-emm repository

Citation

If you use this project in your research, please cite it as follows.

BibTeX (IEEE Style)

@inproceedings{jeong2025large,
  title={Large multimodal model-aided geometry-aware mobility management for {6G} ultra-dense networks},
  author={Jeong, Seokhyun and Shin, Sangmok and Kim, Seungnyun and Shim, Byonghyo},
  booktitle={Proc. IEEE Global Commun. Conf.},
  year={2025},
}