A comparison of fusion rules for collaborative sensing under log-normal shadowing

Author

Al Hussien, Nedaa ; Abdel-Hafez, Mohammed ; Shuaib, Khaled

Author_Institution

Dept. of Electr. Eng., United Arab Emirates Univ., Al-Ain, United Arab Emirates

fYear

2014

fDate

9-11 Nov. 2014

Firstpage

104

Lastpage

109

Abstract

Spectrum sensing performance is highly degraded due to log-normal shadowing, resulting in more interference to the primary user caused by secondary users. However, collaborative sensing provides diversity that helps to alleviate the effect of shadowing. In this paper, a closed-form of the probability of detection under log-normal shadowing is derived, and the performance of this closed-form in collaborative sensing is investigated via Complementary Receiver Operating Characteristic (CROC) curves for both hard fusion and soft fusion rules.

Keywords

cognitive radio; log normal distribution; radio spectrum management; sensor fusion; signal detection; CROC curves; cognitive radio; collaborative sensing; complementary receiver operating characteristic curves; detection probability; hard fusion rules; interference; log-normal shadowing; soft fusion rules; spectrum sensing performance; Collaboration; Educational institutions; Interference; Probability; Sensors; Shadow mapping; Signal to noise ratio; cognitive radio; collaborative sensing; hard (decision) fusion; log-normal shadowing; probability of detection; soft (data) fusion; spectrum sensing;

fLanguage

English

Publisher

ieee

Conference_Titel

Innovations in Information Technology (INNOVATIONS), 2014 10th International Conference on

Conference_Location

Al Ain

Print_ISBN

978-1-4799-7210-4

Type

conf

DOI

10.1109/INNOVATIONS.2014.6987571

Filename

6987571