Demo Abstract: A UAV-Based Real-Time Channel Knowledge Mapping System

Channel knowledge map (CKM) is fundamental for mobile communication system design, optimization, and performance evaluation. In this paper, an unmanned aerial vehicle (UAV) -based real-time channel knowledge mapping system including the aerial platform and mobile ground terminal is designed and implemented. We propose a field programmable gate array (FPGA) -based data processing algorithm to extract the measured channel impulse responses (CIRs) and calculate the channel knowledge labeled by GPS location information. It can run in real-time and greatly reduces the processing complexity, time consumption, and data storage size. Meanwhile, we recover the channel knowledge of the positions other than the sampling trajectory via data completion. Finally, the whole CKM in the measured region is constructed. The developed mapping system can be used to measure and visualize the mapping between the channel characteristics and the three-dimensional environment. The constructed map is expected to benefit diverse applications such as network optimization, physical layer algorithms, link budget, signal coverage, node placement, etc.