Research Article
Spectrum Sensing and Throughput Analysis for Full-Duplex Cognitive Radio with Hardware Impairments
@ARTICLE{10.4108/eai.31-5-2017.152556, author={A. Nasser and A. Mansour and K. C. Yao and H. Abdallah and A. Abdul Ghani}, title={Spectrum Sensing and Throughput Analysis for Full-Duplex Cognitive Radio with Hardware Impairments}, journal={EAI Endorsed Transactions on Cognitive Communications}, volume={3}, number={11}, publisher={EAI}, journal_a={COGCOM}, year={2017}, month={5}, keywords={Cognitiv e Radio, Full-Duplex, Self -Interf erence Cancella tion, Non-Linearity Distortion, Spectrum Sensing, Throughput Anal ysis}, doi={10.4108/eai.31-5-2017.152556} }- A. Nasser
A. Mansour
K. C. Yao
H. Abdallah
A. Abdul Ghani
Year: 2017
Spectrum Sensing and Throughput Analysis for Full-Duplex Cognitive Radio with Hardware Impairments
COGCOM
EAI
DOI: 10.4108/eai.31-5-2017.152556
Abstract
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 a ects the Spectrum Sensing reliability . In this paper , the e ect 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.
Copyright © 2017 A. Nasser et al., licensed to EAI. This is an open access article distributed under the terms of the Crea tiv e Commons Attribution license (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reprod uction in any medium so long as the original work is proper ly cited.
