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Spectrum sensing is the first and foremost step in cognitive radio technology, where sensing efficiency and accuracy cannot be simultaneously optimized. Tradeoff between the two metrics is represented by sensing duration and sensing period, which are among the most important parameters in spectrum sensing. Aiming at maximize overall available spectrum opportunity, an efficiency-accuracy tradeoff is...
The cognitive radio technology is considered as a suitable way to improve the utilization of the radio spectrum and a promising solution to solve the coexistence problem of two wireless networks operating on the same frequency band. In this paper, a satellite-based multi-resolution compressive spectrum detection algorithm is proposed to help the coexistence of a mobile satellite system and an infrastructured...
Accurate spectrum sensing is the key technique of cognitive networks. According to characteristic of random matrix, a cooperative spectrum sensing algorithm is proposed, which is based the eigenvalue of the signals covariance matrix. Regarded the average eigenvalue of the signals received at the different nodes as the average noise power, the ratio of maximum eigenvalue to average eigenvalue is used...
Spectrum detection is a key issue of cognitive radio system. The strength of the spectrum testing ability directly determine the cognitive radio system can whether or not effectively work. Based on it, this topic is about spectrum's detection technology research. This paper introduce matrix theory that have been widely applied in wireless communication to multi-users environment and combine covariance...
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