A Constant Missed Detection Rate Based Spectrum Sensing for UAV Communications towards Ultra-Dense Networks

Abstract

As the ultra-dense networks (UDNs) deploy base stations closely, unmanned aerial vehicle (UAV) communications may have serious interference on terrestrial communications. Spectrum sensing is employed for UAV. It is required a low and constant missed detection rate for UAV to avoid accessing frequency bands within licensed signals. Instead of traditional Constant False Alarm Rate (CFAR), this paper proposes a Constant Missed Detection Rate (CMDR) based on spectrum sensing. Two specific signal detection approaches are used to realize CMDR, which are Likelihood Ratio Test (LRT) and Energy Detector (ED). Simulation results are given and consistent with the theory.