Spatial 3D REM Empowered Spectrum Utilization Monitoring for Smart Factories

Emerging smart factories depend on cellular connectivity for their autonomous manufacturing and logistics. These networks require high spectrum utilization efficiency and reliability while their enhancement is facilitated by real-world measurement campaigns and the construction of Radio Environment Maps (REMs) as they provide datasets for spectrum utilization prediction in temporal and spatial domains. This paper presents a methodology of spectrum utilization monitoring by employing an automated positioning system to collect spectrum data of a real cellular network in three-dimensional (3D) space during specific time intervals. The values for each measurement point is defined by the mean received signal strength (RSS) with highest probability density. The RSS is then interpolated using Kriging to build 3D REMs that determine the points of interest (PoIs), i.e. the points with the RSS that are the most distinct from all the rest. Subsequently, longer measurements are performed at these points to collect data used to characterize the extent of change in the RSS, showing fluctuations of as much as 7 dB, and a mean throughput per channel of up to 0.6 Mbps. Additionally, technological solutions for communication quality improvement in smart factories, are summarized. The methodology and conclusions of this work may be used by industrial and institutional organizations to determine the characteristics of indoor coverage.

• Antoni Ivanov;
• Vladimir Poulkov;
• Krasimir Tonchev;
• Atanas Vlahov;
• Yue Xiao;
• Ping Yang

2025 28th International Symposium on Wireless Personal Multimedia Communications (WPMC)

https://ieeexplore.ieee.org/abstract/document/11351257