Elastic Spectrum Sensing for Satellite-Terrestrial Communication under Highly Dynamic Channels

With the rapid development of mobile communication and Internet of Things, the scarcity of spectrum resources is becoming increasingly severe. As a supplement to terrestrial networks, satellite communication can alleviate the pressure of the terrestrial spectrum. Meanwhile, dynamic spectrum utilization plays an important role in alleviating the scarcity of spectrum resources. To integrate the advantages, we propose the multi-level sliced sensing architecture and design the workflow combining satellites and spectrum sensing. The sensing threshold settings are deduced thereafter. According to the theoretical derivation above, the challenge of false alarm floating caused by high mobility of satellites is addressed by studying the relationship among false alarm probability velocity, Doppler frequency and slice number. Numerical results show that under highly dynamic channel conditions, the proposed method can improve detection probability by up to 54% over existing technique while stabilizing the equivalent limitation of Pf.