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.

中文翻译：

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认知无线电中的深度传输协作感知


在这封信中，我们提出了认知无线电网络中的深度传输协作感知（DTCS）方法，其中多个辅助用户（SU）合作检测共享频带中来自主用户（PU）的信号的存在。 DTCS 是一种基于无监督深度迁移学习的协作频谱感知（CSS）框架。它对能量向量进行操作，能量向量的每个元素都是来自各个 SU 的能量检测器的感测结果。它通过组合一个射频环境中所有 SU 的传感结果来学习知识，并将其传输到另一个射频环境。该方法适用于检测任意未知信号的存在，从而增强了框架的泛化能力和鲁棒性。仿真结果验证了DTCS的有效性。