High-speed Millimeter-wave 5G/6G Image Transmission via Artificial Intelligence
Shaolin Liao, Lu Ou
Abstract
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 MIMO sensing/pre-coding 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”.
Topics & Concepts
Extremely high frequencyTransmission (telecommunications)Computer scienceImage (mathematics)Artificial intelligenceTelecommunicationsSparse and Compressive Sensing TechniquesPhotonic and Optical DevicesAnalog and Mixed-Signal Circuit Design