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Introduction

This repository contains the source code for the following paper [1].

[1] Y. Zhang et al., "AI Empowered Channel Semantic Acquisition for 6G Integrated Sensing and Communication Networks," in IEEE Network, doi: 10.1109/MNET.2024.3354264.

Considering the correlation between C&S channels, we propose a two-stage frame structure along with the channel semantic learning based JCASCasterNet, which yield gains in both extraction and reconstruction of channel semantic.

For more information, please visit our website: gaozhen16.github.io

If you have any questions, you can contact me by email: yifeizhang2000@foxmail.com

Training

Run the main function in train/main.py to start training. The core code of JCASCasterNet is in train/model.py.

License

All code within this repository is under Apache License 2.0.