Cyclostationary Channel Power Measurements for CBRS Coexistence Assessment

We present a compressive approach for channel power measurements in coexistence scenarios involving heteroge-neous cyclostationary channel usage and an example application in the Citizens Broadband Radio Service (CBRS) band. The method leverages known cycle periods of anticipated spectrum users, including wireless data networks with time-division duplexing and pulsed radar, to analyze channel power within a cyclic analysis period. The high degree of data reduction and low degree of computational complexity makes this method suitable for edge computing and long-term spectrum monitoring applications. The results of applying this technique to data recorded in the CBRS band demonstrate its effectiveness in distinguishing signal types, enabling coexistence assessment and supporting data-driven management of spectrum sharing frameworks.