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Deep Joint Semantic Coding and Beamforming for Near-Space Airship-Borne Massive MIMO Network

This is the source code of following paper [1].

[1] Minghui Wu, Zhen Gao, Zhaocheng Wang, Dusit Niyato, George K. Karagiannidis, and Sheng Chen, โ€œDeep Joint Semantic Coding and Beamforming for Near-Space Airship-Borne Massive MIMO Network,โ€ major revision in IEEE Journal on Selected Areas in Communications.

The dataset used for training, validation and testing is 120,000 randomly selected images from the ImageNet dataset. More detailed notes will be uploaded further in the future.

Note that we have done a power scaling of the channel energy and noise power in the code, and that 0 dB of SNR in the code is equivalent to a transmission power of 30 dBm as mentioned in the paper.

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

If you have any questions, you can contact me by email: [email protected]

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