Spectrum Sensing and Throughput Analysis for Full-Duplex Cognitive Radio with Hardware Impairments

Abstract

In Full-duplex Cognitive Radios, the silent period of the Secondary User (SU) during the Spectrum Sensing can be eliminated by applying the Self -Interference Cancellation (SIC). Due to the channel estima tion error and the hardware imperfections (the Phase Noise and the Non-Linear Distortion (NLD)) SIC is not perfectly performed and resul ts in the Residual Self -Interference (RSI) which affects the Spectrum Sensing reliability. In this paper , the effect of RSI on Spectrum Sensing is analytically derived by expressing the detection (pd ) and false alarm (pfa) probabilities under FD in terms of the ones under Half -Duplex (HD) (where SU should remain silent during the Spectrum Sensing period). In addition, an algorithm is proposed to suppress the NLD and improves the Spectrum Sensing performance. Hereinafter , the SU throughput under FD is analysed comparing to HD by deriving the upper and lower bounds to be respected by pfa and pd respectively in order to make FD beneficia relative to HD.

Keywords

• Cognitive Radio
• Full-Duplex
• Self -Interference Cancellation
• Non-Linearity Distortion
• Spectrum Sensing
• Throughput Analysis