201. Standard Condition Number Based Spectrum Sensing Under Asynchronous Primary User Activity
- Author
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Amor Nafkha, Institut d'Électronique et des Technologies du numéRique (IETR), Université de Nantes (UN)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), internal funding from CentraleSupélec, Nantes Université (NU)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), and Université de Nantes (UN)-Université de Rennes 1 (UR1)
- Subjects
Spectrum sensing ,General Computer Science ,asynchronous/synchronous traffic ,Computer science ,Frequency band ,020209 energy ,Context (language use) ,Throughput ,02 engineering and technology ,Synchronization ,standard condition number ,[INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI] ,0202 electrical engineering, electronic engineering, information engineering ,General Materials Science ,Markov process ,ComputingMilieux_MISCELLANEOUS ,false-alarm probability ,business.industry ,Detector ,General Engineering ,Cognitive radio ,Asynchronous communication ,detection probability ,020201 artificial intelligence & image processing ,[INFO.INFO-ET]Computer Science [cs]/Emerging Technologies [cs.ET] ,lcsh:Electrical engineering. Electronics. Nuclear engineering ,business ,[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing ,lcsh:TK1-9971 ,Communication channel ,Computer network - Abstract
Cognitive radio (CR) is a promising technology which enables the secondary user (SU) to sense and detect the presence or absence of the primary user (PU) in the frequency band of interest. Therefore, high detection probability is needed to ensure that primary user is adequately protected, while low false-alarm probability provides the opportunity of using free channel and a better throughput performance of secondary user. Most of the studies on spectrum sensing techniques were conducted assuming a perfect synchronization between the secondary and the primary users. However, in practice, the synchronous assumption is very hard to satisfy in the context of real cognitive radio networks environment. In this paper, we present a theoretical formulation of the standard condition number (SCN) based spectrum sensing technique under an asynchronous cognitive radio networks. We assume the case where the primary users generate asynchronous slotted traffic. The standard condition number distributions under null and alternative hypotheses are derived where the secondary user is equipped with two receive antennas. Under asynchronous primary user traffic, we establish the existence of a lower limit of the false-alarm probability below which we are unable to derive a decision threshold for the SCN-based detector.
- Published
- 2020