A Novel Air-to-Ground Channel Modeling Method Based on Graph Model

Air-to-ground (A2G) communication is envisioned to support numerous applications in 5G wireless networks. In this paper, an active measurement campaign for unmanned aerial vehicle (UAV) channels is introduced. Simulation based on Graph Model (GM) is also conducted for this specific measurement. Both the measured and simulated channel impulse responses (CIRs) are extracted. Based on the CIRs, the multipath components (MPCs) are estimated by using a high-resolution algorithm derived according to the space-alternating generalized expectation-maximization (SAGE) principle. The GM simulation performance is assessed by comparing the concatenated power delay profiles (CPDPs) and MPCs with the measurement results. In addition, an object-labeled clustering method is proposed to further analyze the low altitude UAV channel contributed by individual objects/buildings.