Cell-Level RSRP Estimation With the Image-to-Image Wireless Propagation Model Based on Measured Data

• DOI: 10.1109/tccn.2023.3307945
• Publication Date: 2023-08-23T18:05:15Z
• Authors: Yi Zheng; Ji Wang; Xingwang Li; Jiping Li; Shouyin Liu
• Keywords: SIGNAL (programming language)

Wireless propagation models play a significant role in the deployments of base stations that are used to reference signal receiving power (RSRP) receivers cell. However, existing predict RSRP one receiver point cell at time, which cannot be generalized other cells. Motivated by this, cell-level estimation method is proposed directly whole-cell converting into an image-to-image translation. First, environment map each and measured for transformed image. Second, wireless model based on conditional generative adversarial networks proposed, can time. In particular, residual measurement data real world. The employs empirical reveal law as priori knowledge guide training steps deep learning model. Finally, experimental results verify accuracy generalization performance