Paper list for wireless large AI models
Wireless Large AI Model
Papers related to wireless large AI models (LAMs) and wireless foundation models (FMs).
Note: This paper list focuses more on technical implementations and methodologies. As a result, magazine or high-level overview articles are not prioritized in the initial phase of the list.
📌 This list is continuously updated.
Stay tuned and feel free to ⭐ star this repo to follow the latest progress.
🤝 Open to collaboration and discussion!
I’m open to discussions and potential collaborations on LAM-based wireless research.
Feel free to reach out via email: guangjin.pan@chalmers.se.
You can also find more information on my homepage: HOMEPAGE
📡 Wireless Large AI Models Paper List
1. 📶 LAM–Based Wireless Channel foundation model
Title | Authors | Venue | Year | Code | |
---|---|---|---|---|---|
Large Wireless Localization Model (LWLM): A Foundation Model for Positioning in 6G Networks | Guangjin Pan et al. | arXiv | 2025 | Code | |
SpectrumFM: A Foundation Model for Intelligent Spectrum Management | Fuhui Zhou et al. | arXiv | 2025 | Code | |
Large Wireless Model (LWM): A Foundation Model for Wireless Channels | Sadjad Alikhani et al. | arXiv | 2024 | Code | |
WiFo: Wireless Foundation Model for Channel Prediction | Boxun Liu et al. | arXiv | 2024 | Code | |
LLM4CP: Adapting Large Language Models for Channel Prediction | Boxun Liu et al. | IEEE JCIN | 2024 | Code | |
Self-Supervised and Invariant Wireless Channel Representations | Artan Salihu et al. | IEEE TWC | 2024 | Code | |
WirelessGPT: A Generative Pre-trained Multi-task Learning Framework for Wireless Communication | Tingting Yang et al. | arXiv | 2025 | - | |
LLM4WM: Adapting LLM for Wireless Multi-Tasking | Xuanyu Liu et al. | arXiv | 2025 | - | |
6G WavesFM: A Foundation Model for Sensing, Communication, and Localization | Ahmed Aboulfotouh et al. | arXiv | 2025 | - | |
Building 6G Radio Foundation Models with Transformer Architectures | Ahmed Aboulfotouh et al. | arXiv | 2024 | - | |
Self-Supervised Radio Pre-training: Toward Foundational Models for Spectrogram Learning | Ahmed Aboulfotouh et al. | arXiv | 2024 | - |
2. 🧠 LAM–Driven Network Optimization
Title | Authors | Venue | Year | Link |
---|---|---|---|---|
More papers coming soon. Stay tuned! | xxx et al. | INFOCOM | 2025 |
3. 🗣️ LAM–Enabled Semantic Communication
Title | Authors | Venue | Year | Link |
---|---|---|---|---|
More papers coming soon. Stay tuned! | xxx et al. | INFOCOM | 2025 |
✨ Contributing
Welcome to contribute!
📩 If you have any paper recommendations, feel free to email me or submit an issue. Please follow the format:
| Title | Authors | Venue | Year | Link |
📄 License
This project is licensed under the MIT License.
Pull requests are welcome. Please follow the format and add relevant papers.
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