2016/09/01 by Paul M. Aoki, Aoki, Paul M.
Earth and Planetary Sciences · Engineering · #C.2.1 #FOS: Computer and information sciences #J.2 #Millimeter-Wave Propagation and Modeling #Networking and Internet Architecture (cs.NI) #Precipitation Measurement and Analysis #Radio Wave Propagation Studies #Telecommunications and Broadcasting Technologies
paper · pdf · doi:10.48550/arxiv.1609.00426
openalex publication_date 2016/09/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
As demand for broadband service increases in emerging regions, high-capacity wireless links can accelerate and cost-reduce the deployment of new networks (both backhaul and customer site connection). Such links are increasingly common in developed countries, but their reliability in emerging regions is questioned where very heavy tropical rain is present. Here, we investigate the robustness of the standard (ITU-R P.837-6) method for estimating rain rates using an expanded test dataset. We illustrate how bias/variance issues cause problematic predictions at higher rain rates. We confirm (by construction) that an improved rainfall climatology can largely address these prediction issues without compromising standard ITU fit evaluation metrics.