Cluster-based cooperative spectrum sensing in cognitive radio networks under log-normal shadow-fading

In this paper, we consider the cooperative spectrum sensing when the links between primary user and CRs are subject to log-normal shadow fading and there is also noise uncertainty which is modeled as log-normal. The objective is to evaluate the performance of Equal Gain Combining (EGC) of local obse...

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Bibliographic Details
Published in2011 19th Iranian Conference on Electrical Engineering pp. 1 - 5
Main Authors Reisi, N., Jamali, V., Ahmadian, M., Salari, S.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.05.2011
Subjects
Bandwidth
Cognitive radio
Cooperative Spectrum Sensing
Counting Rule
Equal Gain Combining
Log-Normal shadowing
Noise
Sensors
Shadow mapping
Uncertainty
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ISBN1457707306
9781457707308
ISSN2164-7054

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Summary:In this paper, we consider the cooperative spectrum sensing when the links between primary user and CRs are subject to log-normal shadow fading and there is also noise uncertainty which is modeled as log-normal. The objective is to evaluate the performance of Equal Gain Combining (EGC) of local observations and propose a novel cluster-based algorithm to reduce the reporting channel bandwidth. In our proposed method, CRs in each group sense the spectrum in a distributive manner by the help of EGC method and send the hard decisions to the fusion center where final decision will be make by a simple counting rule. Lower bandwidth of reporting channel is the main advantage of the proposed method.
ISBN:1457707306
9781457707308
ISSN:2164-7054