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

Abbass Nasser (1) , Ali Mansour (2, 3) , K. Yao (1) , H. Abdallah (4) , A. Abdul Ghani (4)

1 Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance
2 Lab-STICC_ENSTAB_CACS_COM
3 Pôle STIC_IDM
4 AUCE - American University of Culture & Education

In Full-d uplex Cognitiv e Radios, the silen t period of the Secondary User (SU) during the Spectrum Sensing can be elimina ted by appl ying the Self -Interf erence Cancella tion (SIC). Due to the channel estima tion error and the hardw are imperf ections (the Phase Noise and the Non-Linear Distortion (NLD)) SIC is not perf ectl y perf ormed and resul ts in the Resid ual Self -Interf erence (RSI) which aects the Spectrum Sensing reliability . In this paper , the eect of RSI on Spectrum Sensing is anal yticall y deriv ed by expressing the detection (pd ) and false alarm (pf a) probabilities under FD in terms of the ones under Half -Duplex (HD) (where SU shoul d remain silen t during the Spectrum Sensing period). In addition, an algorithm is proposed to suppress the NLD and improv es the Spectrum Sensing perf ormance. Hereinafter , the SU throughput under FD is anal ysed comparing to HD by deriving the upper and lower bounds to be respected by pf a and pd respectiv ely in order to make FD beneficia rela tiv e to HD.

Mots clés: Cognitive Radio; Spectrum Sensing; Self-Interference Cancellation; Spectrum Sensing; Full-Duplex; Throughput Analysis; Non-Linearity Distortion; Self-Interference Cancellation; Full-Duplex; Non-Linearity Distortion; Throughput Analysis

Domaines: Traitement du signal et de l'image [eess.SP]; Electronique

Abbass Nasser, Ali Mansour, K. Yao, H. Abdallah, A. Abdul Ghani. Spectrum Sensing and Throughput Analysis for Full-Duplex Cognitive Radio with Hardware Impairments. EAI Endorsed Transactions on Cognitive Communications, 2017, 3 (11), pp.e4. ⟨10.4108/eai.31-5-2017.152556⟩. ⟨hal-01699303⟩