Title :
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
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;
Conference_Titel :
Innovations in Information Technology (INNOVATIONS), 2014 10th International Conference on
Conference_Location :
Al Ain
Print_ISBN :
978-1-4799-7210-4
DOI :
10.1109/INNOVATIONS.2014.6987571
