Nima Reisi - Faculty of Electrical and Computer Engineering K. N. Toosi University of Technology
Vahid Jamali
Mahmoud Ahmadian
Soheil Salari

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

Cognitive Radio, Cooperative Spectrum Sensing,Equal Gain Combining, Counting Rule, Log-Normal shadowing