Spectrum Sensing for Full-Duplex Cognitive Radio Systems
| Autor: | Mohamad Chaitou, Ali Mansour, Koffi Clément Yao, Abbass Nasser, Hussein Charara |
|---|---|
| Přispěvatelé: | Lab-STICC_ENSTAB_CACS_COM, Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC), École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Télécom Bretagne-Institut Brestois du Numérique et des Mathématiques (IBNM), Université de Brest (UBO)-Université européenne de Bretagne - European University of Brittany (UEB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Télécom Bretagne-Institut Brestois du Numérique et des Mathématiques (IBNM), Université de Brest (UBO)-Université européenne de Bretagne - European University of Brittany (UEB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS), Pôle STIC_IDM, École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne), Université Libanaise, Laboratoire d'Electronique et Systèmes de Télécommunications (LEST), Université de Brest (UBO)-Ecole Nationale Supérieure des Télécommunications de Bretagne-Centre National de la Recherche Scientifique (CNRS), Lab-STICC_UBO_CACS_COM, EAI, Billon-Coat, Annick |
| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: |
Full-Duplex
Computer science Amplifier 020206 networking & telecommunications 02 engineering and technology Cognitive Radio Residual [SPI.TRON] Engineering Sciences [physics]/Electronics [SPI.TRON]Engineering Sciences [physics]/Electronics Non-Linearity Distortion Cognitive radio Transmission (telecommunications) Single antenna interference cancellation Distortion 0202 electrical engineering electronic engineering information engineering Electronic engineering Self-Interference Cancellation 020201 artificial intelligence & image processing Transceiver Spectrum Sensing [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing Communication channel |
| Zdroj: | CROWNCOM CROWNCOM, EAI, May 2016, Grenoble, France Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ISBN: 9783319403519 CrownCom |
| Popis: | International audience; Full-Duplex (FD) transceiver has been proposed to be used in Cognitive Radio (CR) in order to enhance the Secondary User (SU) Data-Rate.In FD CR systems, in order to diagnose the Primary User activity, SU can perform the Spectrum Sensing while operating. Making an accurate decision about the PU state is related to the minimization of the Residual Self Interference (RSI). RSI represents the error of the Self Interference Cancellation (SIC) and the receiver impairments mitigation such as the Non-Linear Distortion (NLD) of the receiver Low-Noise Amplifier (LNA). In this manuscript, we deal with the RSI problem by deriving, at the first stage, the relation between the ROC curves under FD and Half-Duplex (HD) (when SU stops the transmission while sensing the channel). Such relation shows the RSI suppression to be achieved in FD in order to establishan efficient Spectrum Sensing relatively to HD. In the second stage, we deal with the receiver impairments by proposing a new technique to mitigatethe NLD of LNA. Our results show the efficiency of this method that can help the Spectrum Sensing to achieve a closed performance under FD to that under HD. |
| Databáze: | OpenAIRE |
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