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Table 1 Simulation parameters

From: Efficient improvement of energy detection technique in cognitive radio networks using K-nearest neighbour (KNN) algorithm

Parameters

Values

SNR variation

 − 25 to − 10dB

Channel

AWGN

Transformation techniques

Standard scaling, variance thresholding

Algorithm

K-nearest neighbours

No of neighbours

10, 30, 50, 100, 150, 200, 250, 300

Distance metrics

Euclidean, Manhattan, Minkowski

Algorithm type

Uniform KNN, weighted KNN