Spurious Power Detection using Mobile Sensors for Spectrum-Sharing

Abstract

The 5th generation mobile communication system requires more frequency bandwidth to satisfy various new user requirements. Spectrum-sharing is one remarkable technique to yield bandwidth. The usage region and the time of the primary users for spectrum-sharing are needed to estimate to avoid causing interference to them. Spectrum sensing is generally utilized to estimate the region and time. Because general spectrum-sharing is based on the received power of the primary user, the estimation accuracy is degraded when the received power includes spurious power from other illegal systems. We propose spurious power detection method based on the correlation of the sensing data of sensors to solve this problem. Then, we also report our measurement results in an anechoic chamber and an urban area to verify our proposed method.