Channel quality estimation metrics in cognitive radio networks: a survey. Issue 8 (25th May 2017)

• Record Type: Journal Article
• Authors: Elderini, Tarek; Kaabouch, Naima; Reyes, Hector
• Is Part Of: IET communications. Volume 11:Issue 8(2017)
• Page Start: 1173
• Page End: 1179
• Publication Date: 2017-05-25
• Subjects: channel estimation -- cognitive radio -- wireless channels -- radio spectrum management -- resource allocation -- signal detection; channel quality estimation metrics -- cognitive radio network -- wireless communication system -- radio spectrum resource -- radio spectrum regulator -- spectrum scarcity -- resource management -- dynamic spectrum access -- radio channel -- bit error rate -- signal‐to‐interference‐plus‐noise ratio -- outage probability -- spectrum sensing accuracy -- idle state duration expectation; Telecommunication systems -- Periodicals; Speech processing systems -- Periodicals; 621.38205
• DOI: 10.1049/iet-com.2016.0919
• Languages: English
• ISSNs: 1751-8628

Abstract

Abstract : The rapid growth of wireless communication systems around the world has led to a significant demand for more radio spectrum resources. Radio spectrum regulators are facing several challenges due to spectrum scarcity caused not only by increased demand but also by inefficient management of this resource. Currently, the spectrum is statically allocated to licensed users even though some of them use this resource intermittently. This has resulted in underutilisation of the spectrum and therefore, spectrum scarcity for new users. Cognitive radio aims at solving this problem through dynamic spectrum access, which uses spectrum holes opportunistically. A cognitive radio can select the best channel available at a particular location and time. To accomplish that goal, the system requires some criteria, or channel quality estimation metrics, to rank the channels that it potentially could use. In this study, the authors present a survey on several channel quality estimation metrics such as bit error rate, signal‐to‐interference‐plus‐noise ratio, outage probability, channel quality estimation index, spectrum sensing accuracy of secondary user, and the idle state duration expectation.