17 citations · 39 across the 7 of their papers we have counts for
7 papers
SVM and Dimensionality Reduction in Cognitive Radio with Experimental Validation
Shujie Hou, Robert C. Qiu, Zhe Chen +1
There is a trend of applying machine learning algorithms to cognitive radio. One fundamental open problem is to determine how and where these algorithms are useful in a cognitive r…
Spectrum Sensing for Cognitive Radio Using Kernel-Based Learning
Shujie Hou, Robert C. Qiu
Kernel method is a very powerful tool in machine learning. The trick of kernel has been effectively and extensively applied in many areas of machine learning, such as support vecto…
GLRT-Based Spectrum Sensing with Blindly Learned Feature under Rank-1 Assumption
Peng Zhang, Robert Qiu
Prior knowledge can improve the performance of spectrum sensing. Instead of using universal features as prior knowledge, we propose to blindly learn the localized feature at the se…
Demonstration of Spectrum Sensing with Blindly Learned Feature
Peng Zhang, Robert Qiu, Nan Guo
Spectrum sensing is essential in cognitive radio. By defining leading \textit{eigenvector} as feature, we introduce a blind feature learning algorithm (FLA) and a feature template…
Cooperative Wideband Spectrum Sensing for the Centralized Cognitive Radio Network
Peng Zhang, Robert Qiu
Various primary user (PU) radios have been allocated into fixed frequency bands in the whole spectrum. A cognitive radio network (CRN) should be able to perform the wideband spectr…
Spectrum Sensing Based on Blindly Learned Signal Feature
Peng Zhang, Robert Qiu
Spectrum sensing is the major challenge in the cognitive radio (CR). We propose to learn local feature and use it as the prior knowledge to improve the detection performance. We de…