TY - JOUR
T1 - Soft cooperative spectrum sensing performance under imperfect and non identical reporting channels
AU - Ben Ghorbel, Mahdi
AU - Nam, Haewoon
AU - Alouini, Mohamed-Slim
N1 - KAUST Repository Item: Exported on 2020-10-01
Acknowledgements: Manuscript received January 31, 2014; revised August 15, 2014 and October 28, 2014; accepted November 20, 2014. Date of publication December 4, 2014; date of current version February 6, 2015. The work of M.-S. Alouini was supported by the Qatar National Research Fund (a member of Qatar Foundation) under NPRP 5-250-2-087. The statements made herein are solely the responsibility of the authors. The work of H. Nam was supported by the MSIP (Ministry of Science, ICT and Future Planning), Korea, under ICT/SW Creative Research Program (NIPA-2014-H0509-14-1003) supervised by the NIPA (National IT Industry Promotion Agency) and also by Basic Science Research Program through National Research Foundation of Korea (NRF) funded by MSIP (NRF-2014R1A1A2057210). The associate editor coordinating the review of this paper and approving it for publication was S. S. Ikki.
PY - 2015/2
Y1 - 2015/2
N2 - Cooperation among cognitive radio users improves the spectrum sensing performance by combining local decisions measured over independent sensing channels, allowing reduction of miss-detection and false alarm probabilities. While most of the works in cooperative spectrum sensing techniques assume perfect channels between the cooperating users, this paper studies the effect of imperfect channels when local users report their sensed information to the fusion center. Cooperative detection and false-alarm probabilities are derived for a general scheme of imperfect reporting channels under non necessarily identical sensing and reporting channels. Numerical simulations show that imperfect reporting channels should be considered to optimize the cooperative sensing in terms of consumed energy and probability of error.
AB - Cooperation among cognitive radio users improves the spectrum sensing performance by combining local decisions measured over independent sensing channels, allowing reduction of miss-detection and false alarm probabilities. While most of the works in cooperative spectrum sensing techniques assume perfect channels between the cooperating users, this paper studies the effect of imperfect channels when local users report their sensed information to the fusion center. Cooperative detection and false-alarm probabilities are derived for a general scheme of imperfect reporting channels under non necessarily identical sensing and reporting channels. Numerical simulations show that imperfect reporting channels should be considered to optimize the cooperative sensing in terms of consumed energy and probability of error.
UR - http://hdl.handle.net/10754/564039
UR - http://ieeexplore.ieee.org/document/6975077/
UR - http://www.scopus.com/inward/record.url?scp=84923257674&partnerID=8YFLogxK
U2 - 10.1109/LCOMM.2014.2377231
DO - 10.1109/LCOMM.2014.2377231
M3 - Article
SN - 1089-7798
VL - 19
SP - 227
EP - 230
JO - IEEE Communications Letters
JF - IEEE Communications Letters
IS - 2
ER -