TY - GEN
T1 - Upper bounds for Neyman-Pearson cooperative spectrum sensing
AU - Zahabi, Sayed Jalal
AU - Tadaion, Ali Akbar
AU - Aissa, Sonia
N1 - KAUST Repository Item: Exported on 2020-10-01
PY - 2011/6
Y1 - 2011/6
N2 - We consider a cooperative spectrum sensing scenario where the local sensors at the secondary users are viewed as one-level quantizers, and the quantized data are to be fused under Neyman-Pearson (N-P) criterion. We demonstrate how the N-P fusion results in a randomized test, which represents the total performance of our spectrum sensing scheme. We further introduce an upper performance bound for the overall primary user signal detection. An analytical procedure towards the upper bound and its relevant quantization setup at the local sensors are proposed and examined through simulations. © 2011 IEEE.
AB - We consider a cooperative spectrum sensing scenario where the local sensors at the secondary users are viewed as one-level quantizers, and the quantized data are to be fused under Neyman-Pearson (N-P) criterion. We demonstrate how the N-P fusion results in a randomized test, which represents the total performance of our spectrum sensing scheme. We further introduce an upper performance bound for the overall primary user signal detection. An analytical procedure towards the upper bound and its relevant quantization setup at the local sensors are proposed and examined through simulations. © 2011 IEEE.
UR - http://hdl.handle.net/10754/564390
UR - http://ieeexplore.ieee.org/document/5983981/
UR - http://www.scopus.com/inward/record.url?scp=80052777479&partnerID=8YFLogxK
U2 - 10.1109/ISCC.2011.5983981
DO - 10.1109/ISCC.2011.5983981
M3 - Conference contribution
SN - 9781457706783
SP - 1050
EP - 1055
BT - 2011 IEEE Symposium on Computers and Communications (ISCC)
PB - Institute of Electrical and Electronics Engineers (IEEE)
ER -