TY - GEN
T1 - Consensus algorithms for distributed spectrum sensing based on goodness of fit test in cognitive radio networks
AU - Teguig, Djamel
AU - Scheers, Bart
AU - Le Nir, Vincent
AU - Horlin, Franois
N1 - Publisher Copyright:
© 2015 Military University of Technology.
PY - 2015/7/14
Y1 - 2015/7/14
N2 - In this paper, we study a consensus algorithm for distributed spectrum sensing (DSS) in cognitive radio networks (CRN) integrating a Goodness of Fit based spectrum sensing scheme. Existing work in this area often applies energy detector as a local spectrum sensing method for DSS, however in this case one needs to make the assumption that the noise level is the same at every node in the network, otherwise the threshold can not be set properly. In GoF based spectrum sensing, the threshold for the binary test depends only on the desired false alarm probability and not on the local noise powers. Motivated by this nice feature of GoF based spectrum sensing, we consider the goodness of fit (GoF) test statistic to be exchanged among cognitive radio (CR) users (consensus variable) instead of the energy. Moreover, a weighted consensus based DSS scheme is proposed and compared to the conventional consensus based on DSS. Simulations are conducted to show the effectiveness of the consensus algorithm based on GoF test.
AB - In this paper, we study a consensus algorithm for distributed spectrum sensing (DSS) in cognitive radio networks (CRN) integrating a Goodness of Fit based spectrum sensing scheme. Existing work in this area often applies energy detector as a local spectrum sensing method for DSS, however in this case one needs to make the assumption that the noise level is the same at every node in the network, otherwise the threshold can not be set properly. In GoF based spectrum sensing, the threshold for the binary test depends only on the desired false alarm probability and not on the local noise powers. Motivated by this nice feature of GoF based spectrum sensing, we consider the goodness of fit (GoF) test statistic to be exchanged among cognitive radio (CR) users (consensus variable) instead of the energy. Moreover, a weighted consensus based DSS scheme is proposed and compared to the conventional consensus based on DSS. Simulations are conducted to show the effectiveness of the consensus algorithm based on GoF test.
KW - Cognitive Radio
KW - Consensus Algorithms
KW - Goodness of Fit test
KW - Spectrum Sensing
UR - https://www.scopus.com/pages/publications/84943279665
U2 - 10.1109/ICMCIS.2015.7158681
DO - 10.1109/ICMCIS.2015.7158681
M3 - Conference contribution
AN - SCOPUS:84943279665
T3 - 2015 International Conference on Military Communications and Information Systems, ICMCIS 2015
BT - 2015 International Conference on Military Communications and Information Systems, ICMCIS 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2015 International Conference on Military Communications and Information Systems, ICMCIS 2015
Y2 - 18 May 2015 through 19 May 2015
ER -