Ultra-dense networks (UDN) are anticipated to fulfill the high-performance demands for future applications of 5G and beyond communication networks. By exploiting recent advances in computer vision techniques, we propose a novel cell association technique, referred to as computer vision-based cell association (CV-CA), that circumvents the cumbersome CSI acquisition. The computer vision technique provides accurate 3D position and determines the line-of-sight communication link of all users within the UDN using RGB images. We demonstrate from the simulations that the proposed CV-CA outperforms 5G-NR and conventional cell association techniques in terms of total data rate.
Computer Vision-Based Cell Association for mmWave/THz Ultra-Dense Networks
2024-06-24
649945 byte
Conference paper
Electronic Resource
English