Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/98547
Title: Spectrum sensing under distribution uncertainty in cognitive radio networks
Authors: Gong, Shimin
Wang, Ping
Liu, Wei
Keywords: DRNTU::Engineering::Computer science and engineering
Issue Date: 2012
Abstract: The successful coexistence of cognitive radio systems with licensed system requires the secondary users the capability of interference-awareness, i.e., knowing which spectrum bands are occupied by primary users, i.e., the legacy users. Spectrum sensing thus is a key enabling module, which usually models the sensing process as a binary hypothesis testing assuming known signal distribution. However, an unrealistic assumption regarding the signal distribution easily leads to unreliable detection probability. In this paper, we study the sensing performance considering the distribution uncertainty in hypothesis testing, i.e., the actual distribution function of the received signal strength is not known. According to different signal characteristics, we define appropriate uncertainty sets respectively for different hypotheses. Then we present an approximate approach to determine the robust decision threshold, and investigate the performance bounds for the detection probability under distribution uncertainty. Moreover, we provide an analytical expression for the lower bound of detection probability. Numerical results are given to validate our conclusions.
URI: https://hdl.handle.net/10356/98547
http://hdl.handle.net/10220/13424
DOI: 10.1109/ICC.2012.6363671
Rights: © 2012 IEEE
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:SCSE Conference Papers

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