Propagation-Aware RF Optimization Framework for Rural 5G, Fixed Wireless Access, and Microwave Backhaul Deployment Validation

Rural broadband deployment using low-band 5G and Fixed Wireless Access (FWA) technologies presents persistent RF engineering challenges arising from terrain complexity, vegetation density, and variable propagation conditions. Despite $42.45 billion in federal investment through the Broadband Equity, Access, and Deployment (BEAD) Program, provider-reported coverage data frequently overstates actual delivered service because it is derived from propagation models rather than post-deployment field measurements. This paper proposes the Propagation-Aware RF Optimization Framework (PAROF), a six-component closed-loop methodology integrating terrain-based path profiling using ITU-R P.1812-7, link budget validation using ITU-R P.530-18, Monte Carlo reliability simulation based on the 3GPP TR 38.901 Rural Macrocell channel model, and KPI-driven post-deployment field validation. The framework is proposed based on preliminary engineering evidence drawn from four multi-site deployments including a 29.79 km XPIC microwave link with 99.9971% model-predicted availability supported by 72-hour field monitoring, a dual-band 15/80 GHz backhaul link delivering 300 Mbps and 2 Gbps respectively, and Nokia AirScale 5G RAN commissioning across 114 sites. Analysis of FCC Broadband Data Collection data for Okanogan County, Washington, where only 37.02% of locations meet the BEAD-served threshold of 100/20 Mbps, illustrates the national-scale application of the framework. Preliminary deployment evidence suggests that PAROF-guided workflows can support RSL prediction accuracy within approximately 2-3 dB in the documented cases, with further U.S.-based validation needed for low-band 5G/FWA deployments.