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Modern, industrial automation is unthinkable without wireless communications. Thereby, wireless links provide the necessary flexibility for industrial real-time applications. On the other side, these applications need at the same time a wireless communications link that works ultra-reliably. In communications systems, unreliability can be traced back to the fading behavior of the wireless radio channel as the medium between the communicating entities.
Modern, industrial use cases for wireless communications are related to mobile applications such as moving robotics in industrial environments. For the design of communication systems, the behavior of the radio channel, especially over time, is of great importance. Most of the existing data sets for industrial radio channels originate from static measurement procedures, containing an arbitrary subset of the environment.
Good knowledge about a radio environment, especially about the radio channel, is a prerequisite to design and operate ultra-reliable communications systems. Radio Environment Maps (REMs) are therefore a helpful tool to gain channel awareness. Based on a user’s location, the channel conditions can be estimated in the surrounding of the user by extracting the information from the radio map. This data set contains two measured high-resolution REMs of an indoor environment.