Title
Performance of quickest spectrum sensing for EVM-based change detection.
Abstract
In cognitive radio (CR) systems, secondary users (SUs) equipped with a single transceiver are unable to sense and transmit simultaneously. Due to this limitation, most of the models intended to describe spectrum sensing focus on pre-transmission sensing and consider that primary users (PUs) only change their activity state in the beginning of each SU's operation cycle. This study characterises the more practical scenario which considers the reappearing PU during ongoing SU communication. The authors study a quickest detection scheme that uses an error vector magnitude (EVM) of the received signal. They consider two models of PUs namely an unknown deterministic signal and a Gaussian random signal with additive white Gaussian noise. The probability density function of the EVM test statistic is derived for both cases. The authors develop an exact quickest detection scheme by using a traditional cumulative sum (CUSUM) test. They show that CUSUM EVM outperforms CUSUM ED using theoretical analysis and numerical simulations.
Year
DOI
Venue
2019
10.1049/iet-com.2018.5732
IET Communications
Keywords
Field
DocType
signal detection,probability,cognitive radio,radio spectrum management
CUSUM,Change detection,Transceiver,Test statistic,Algorithm,Real-time computing,Gaussian,Additive white Gaussian noise,Probability density function,Mathematics,Cognitive radio
Journal
Volume
Issue
ISSN
13
6
1751-8628
Citations 
PageRank 
References 
0
0.34
0
Authors
4
Name
Order
Citations
PageRank
Narayan Nepal100.68
Philippa A. Martin211221.05
Desmond P. Taylor327446.37
Alan J. Coulson428331.45