Characterization of Dynamic Blockages for VLC-Enabled Indoor Industrial Networks

Recent advancements in autonomous aerial vehicles (AAVs) and visible light communication (VLC) can revolutionize indoor networks in the era of 6G, offering benefits, such as high accuracy, cost-effectiveness, power efficiency, and improved security. However, VLC-enabled indoor networks face several deployment challenges, including line-of-sight disruptions caused by dynamic obstacles, such as human obstacles and UAVs operating within an indoor area. These dynamic obstacles in the 3-D space can lead to a nonuniform distribution of the received power across the indoor area, adversely impacting the quality of service for indoor users. Therefore, it is crucial to analyze the performance of VLC-enabled indoor networks in the presence of dynamic blockages. This analysis is essential to effectively mitigate the impact of dynamic obstacles and enhance the performance and reliability of indoor networks. This letter provides a performance analysis of VLC-enabled indoor networks for multiple light-emitting-diode configurations in the presence of various blockages, where the blockages (both humans and UAVs) can pause during movement for different pause times. Based on the provided analysis, we develop a model to calculate the blockage probability in indoor networks, and the bit-error-rate performance with varying blockage density is analyzed.