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Deep Transfer Cooperative Sensing in Cognitive Radio

2021; Institute of Electrical and Electronics Engineers; Volume: 10; Issue: 6 Linguagem: Inglês

10.1109/lwc.2021.3067508

2162-2345

Lusi Li, He Jiang, Haibo He,

Speech and Audio Processing

In this letter, we propose a deep transfer cooperative sensing (DTCS) approach in cognitive radio networks, where multiple secondary users (SUs) cooperate to detect the presence of signals from a primary user (PU) in a shared frequency band. DTCS is a cooperative spectrum sensing (CSS) framework based on unsupervised deep transfer learning. It operates on energy vectors, whose each element is a sensing result by an energy detector from individual SU. It learns the knowledge by combining the sensing results from all SUs in one radio frequency environment and transfers it to another one. This approach is applicable for detecting the presence of arbitrary unknown signals, which enhances the generalization ability and robustness of the framework. Simulation results demonstrate the effectiveness of DTCS.