Low complexity spectrum sensing in Bluetooth

Abstract

In this paper, we propose a complexity reduced spectrum sensing scheme for Bluetooth to avoid the interference from other communication devices in 2.4 GHz ISM band. By exploiting the spectrum characteristics of interference sources, the proposed scheme detects the availability of channels by comparing the power spectrum density (PSD) with a threshold. To reduce the implementation complexity, the PSD is calculated by means of fast Fourier transform and linear interpolation. The threshold for the detection is determined to maximize the detection probability. To further improve the transmission performance, the proposed scheme dynamically changes the channels by measuring the transmission performance. Finally, the performance of the proposed scheme is verified by computer simulation in the presence of WLANs in the ISM band.