Indoor Wireless Environment Visualization for Smart Factories

Smart factories with a cyber-physical system (CPS) require wireless power transfer and data transmission for the CPS simultaneously without interference. For the design of these simultaneous transmissions, it is important to accurately recognize the wireless environment. One of the methods for recognizing the environment is a radio environment map (REM), which visualizes the statistical results of measured received power and communication quality by linking them to location information. In this paper, we propose measuring the received power and communication quality of private 5G and wireless local area networks in a smart factory and constructing an indoor spectrum database. REMs were created from the constructed database and their accuracy was evaluated. We also compared the block error rate (BLER) and modulation and coding scheme (MCS) index at non-line-of-sight (NLOS) locations to those at LOS locations and found that MCS index decreased when BLER increased.