Investigating the Estimation of Primary Occupancy Patterns under Imperfect Spectrum Sensing

Al-Tahmeesschi, Ahmed ORCID: 0000-0002-5750-5080, Lopez-Benitez, Miguel ORCID: 0000-0003-0526-6687, Lehtomaki, Janne and Umebayashi, Kenta
(2017) Investigating the Estimation of Primary Occupancy Patterns under Imperfect Spectrum Sensing. In: 2017 IEEE Wireless Communications and Networking Conference Workshops (WCNCW), 2017-3-19 - 2017-3-22, San Francisco, CA.

[img] Text
PID1190026.pdf - Author Accepted Manuscript

Download (355kB)


Dynamic Spectrum Access (DSA)/Cognitive Radio (CR) systems access the channel in an opportunistic, noninterfering manner with the primary network. As a result, CR performance depends on the primary channel occupancy pattern. The occupancy pattern of primary network is affected by multiple factors including time, location and frequency band. This work focuses on the time domain of spectrum sharing. The objective of this work is to study how the primary user activity pattern in the time domain (i.e., statistical distribution of the durations of idle/busy periods) affects the ability of the CR system to obtain accurate statistical information based on spectrum sensing observations. In this research, we model the primary activity pattern as a Continuous-Time Semi-Markov Chain (CTSMC). Different distributions to imitate occupancy patterns of primary network are tested by means of simulation, first when having a perfect spectrum sensing, then in the presence of imperfect spectrum sensing. It is shown that every occupancy pattern (i.e., distribution) actually leads to different levels of accuracy in the estimated statistics. A new algorithm to palliate the degrading effects of spectrum sensing errors is proposed and evaluated. The new and considered algorithms can improve the prediction of primary network statistics, however with different levels of effectiveness depending on the primary activity pattern.

Item Type: Conference or Workshop Item (Unspecified)
Uncontrolled Keywords: Cognitive radio, dynamic spectrum access, spectrum sensing, spectrum awareness, primary activity statistics
Depositing User: Symplectic Admin
Date Deposited: 27 Jan 2017 09:56
Last Modified: 19 Jan 2023 07:20
DOI: 10.1109/wcncw.2017.7919112
Related URLs: