SVD detection analysis in cognitive mobile radio networks

Abstract

In this work, the performance of the spectrum detection method known as singular value decomposition (SVD) is evaluated. The performance of the SVD detection method was analyzed in terms of the probability of detection (P <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">d</sub> ) versus signal-to-noise ratio (SNR) in a mixed LTE and WiFi cognitive radio network. The results were compared via numerical simulations with the theoretical SVD detection method and the theoretical energy detection method. The maximum likelihood estimation (MLE) statistical estimator was used to verify the efficiency of the evaluated techniques. The evaluated system outperformed the other methods in terms of P <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">d</sub> .