Detection of Interference Constraint Violation Based on Heterogeneous Data Fusion in Satellite-Earth Integrated Networks

In the downlink scenario of satellite-earth integrated networks, the secondary systems ought to share spectrum resources with no extra interference on the primary system under the premise of interference constraints. However, due to various factors, e.g., equipment failure or selfish drive, interference constraint violation (ICV) exists, which seriously threatens the reliable communication of primary systems. Therefore, effective detection of the secondary users' working status is necessary to protect the communication of primary user. In this paper, a new geolocation spectrum database is introduced to coordinate the information interaction for spectrum usage and surveillance, and a detection framework is proposed to detect the ICV behaviors, which utilizes the generalized likelihood ratio test and maximum a posterior to determine the transmitted power of the secondary users. Moreover, a data fusion scheme based on sensing node selection is designed to alleviate negative effects on the detection performance brought by the existence of the primary user. Furthermore, the test statistics are derived under different channel models. Finally, extensive simulations are provided to verify the proposed framework under various parameter configurations.