Channel Knowledge Extraction and Completion Methods for 3D CKM Construction

Channel knowledge map (CKM) is a promising technology that can build a bridge between the environments and communication strategies for joint sensing and communication. This paper proposes a CKM construction framework involving multi-dimensional channel information in three-dimensional (3D) space including the channel knowledge extraction and completion of sparse channel knowledge. For channel knowledge extraction, the constant false alarm probability (CFAR) method is utilized to extract the effective channel knowledge from the channel impulse response (CIR). On this basis, the Kriging interpolation method is used to complete the environment-dependent channel knowledge. Finally, the proposed CKM construction method is verified based on the simulations. Simulation results show that the sparse channel knowledge is well extracted and completed. The constructed CKMs are consistent with the reference CKMs.