Cooperative spectrum sensing using fuzzy membership function of energy statistics

This paper proposes a novel cooperative spectrum sensing method in cognitive radio based on the fuzzy membership functions which are quantized using a near-optimal quantization scheme with low computational complexity. A membership function is obtained in a Secondary User (SU) using an ordinary energy detection method and its output is sent to a Fusion Center (FC) after quantization through a noiseless reporting channel, where the final decision is made. The FC combines the received information using some fuzzy rules such as algebraic product to make a final decision about the absence/presence of a primary user. The simulations results reveal that, under quantization, the proposed cooperative spectrum sensing schemes considerably improve the performance of system.