Abstract
As an important technology for 6G, Visible Light Communication (VLC) is highly suitable for internal cabin communication amid the current trend of cable-free and modular communication. This paper proposes a VLC system implementing "OOK + Manchester coding"based on deep learning. The system combines two neural networks to extract signal features and adopts a classification method for signal demodulation, adapting to the characteristics of high occlusion and non-line-of-sight (NLOS) paths in the missile interior. The "train-first-then-use"characteristic of artificial intelligence aligns well with the task features of air-to-ground missiles - long mounted flight time and short autonomous flight time. It can utilize the pre-launch time to complete data training, thereby supporting in-missile signal transmission after launch. Practical tests have shown that a communication rate of 1 Mbps can be achieved in a 1.2-meter-long
| Original language | English |
|---|---|
| Title of host publication | 2026 IEEE International Conference on Communications Workshops, ICC Workshops 2026 - Proceedings |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9798331576240 |
| DOIs | |
| State | Published - 2026 |
| Externally published | Yes |
| Event | 2026 IEEE International Conference on Communications Workshops, ICC Workshops 2026 - Glasgow, United Kingdom Duration: 24 May 2026 → 28 May 2026 |
Publication series
| Name | 2026 IEEE International Conference on Communications Workshops, ICC Workshops 2026 - Proceedings |
|---|
Conference
| Conference | 2026 IEEE International Conference on Communications Workshops, ICC Workshops 2026 |
|---|---|
| Country/Territory | United Kingdom |
| City | Glasgow |
| Period | 24/05/26 → 28/05/26 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Cable-Free
- MIMO
- NLOS
- VLC
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