On error variance for autoregressive process-based spectrum occupancy prediction with energy detector for cognitive networks
Küçük Resim Yok
Tarih
2015
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Institute of Electrical and Electronics Engineers Inc.
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Spectrum sensing is considered to be the most important task for both cognitive radio (CR) networks and next generation wireless networks (NGWNs). Spectrum sensing operation allows wireless nodes to identify vacant bands so that radio frequency (RF) spectrum could be used more efficiently. It is clear that a powerful spectrum sensing method equipped with an effective prediction strategy will carry utilization of the RF spectrum to the utmost level. Analysis of the performances of prediction strategies plays a critical role in quantifying the efficiency of the overall spectrum sensing operation. Therefore, in this study, autoregressive process-based prediction strategy for energy detection is investigated. It is shown that prediction error variance relies heavily on both the intercept of the autoregressive model and the threshold value selected. Theoretical findings are validated and verified by measurement data which are obtained by capturing the complete Global System for Mobile (GSM) downlink band at Nyquist rate of in-phase/quadrature (I/Q) level. Results and relevant discussions are provided along with future research directions as well. © 2015 IEEE.
Açıklama
11th International Wireless Communications and Mobile Computing Conference, IWCMC 2015 -- 24 August 2015 through 28 August 2015 -- -- 116342
Anahtar Kelimeler
autoregressive process, cognitive networks, cognitive radio, spectrum sensing
Kaynak
IWCMC 2015 - 11th International Wireless Communications and Mobile Computing Conference
WoS Q Değeri
N/A
Scopus Q Değeri
N/A