论文标题
通过人工智能的高速毫米波5G/6G图像传输
High-speed Millimeter-wave 5G/6G Image Transmission via Artificial Intelligence
论文作者
论文摘要
人工智能（AI）已用于共同优化用于高速5G/6G图像传输的MMWAVE压缩感（CS）。具体而言，我们已经开发了一个字典学习压缩的传感神经网络（DL-CSNET），以实现三个关键功能：1）学习图像的词典基础以进行传输； 2）优化Hadamard测量矩阵； 3）用学习的词典基础重建无损图像。已经构建了一个94 GHz的原型，并最多可以为字母``a“ to``z''实现了一个图像传输速度的提高。
Artificial Intelligence (AI) has been used to jointly optimize a mmWave Compressed Sensing (CS) for high-speed 5G/6G image transmission. Specifically, we have developed a Dictionary Learning Compressed Sensing neural Network (DL-CSNet) to realize three key functionalities: 1) to learn the dictionary basis of the images for transmission; 2) to optimize the Hadamard measurement matrix; and 3) to reconstruct the lossless images with the learned dictionary basis. A 94-GHz prototype has been built and up to one order of image transmission speed increase has been realized for letters ``A" to ``Z".
