Soft Combination Schemes for Cooperative Spectrum Sensing in Cognitive Radio Networks
作者： Bin Shen , Kyung Sup Kwak
DOI: 10.4218/ETRIJ.09.0108.0501
关键词: Electronic engineering 、 Engineering 、 Reference data (financial markets) 、 Noise power 、 Signal 、 Cognitive radio 、 Spectrum (functional analysis)
摘要: This paper investigates linear soft combination schemes for cooperative spectrum sensing in cognitive radio networks. We propose two weight-setting strategies under different basic optimality criteria to improve the overall performance network. The corresponding optimal weights are derived, which determined by noise power levels and received primary user signal energies of multiple secondary users However, obtain instantaneous measurement these with high accuracy is extremely challenging. It can even be infeasible practical implementations a low signal-to-noise ratio regime. therefore reference data matrices scavenge indispensable information setting proposed combining adaptively keeping records most recent observations. Analyses simulation results demonstrate that outperform conventional maximal equal gain yield significant improvements sensing.
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