TY - JOUR
T1 - Cooperative sensing with imperfect reporting channels
T2 - Hard decisions or soft decisions?
AU - Chaudhari, Sachin
AU - Lundén, Jarmo
AU - Koivunen, Visa
AU - Poor, H. Vincent
N1 - Funding Information:
Manuscript received December 22, 2010; revised June 08, 2011; accepted September 21, 2011. Date of publication October 10, 2011; date of current version December 16, 2011. The associate editor coordinating the review of this manuscript and approving it for publication was Dr. Mark Coates. The research of S. Chaudhari and V. Koivunen has received funding from the European Community’s Seventh Framework Programme (FP7/2007-2013) under Grant agreement 216076 (SENDORA). S. Chaudhari has also received grants from Jenny and Antti Wihuri Foundation and Nokia Foundation. The research of J. Lundén and H. V. Poor has received funding from the Qatar National Research Fund. J. Lundén has also received funding from the Finnish Cultural Foundation.
PY - 2012/1
Y1 - 2012/1
N2 - This paper focuses on the performance analysis and comparison of hard decision (HD) and soft decision (SD) based approaches for cooperative spectrum sensing in the presence of reporting channel errors. For cooperative sensing (CS) in cognitive radio networks, a distributed detection approach with displaced sensors and a fusion center (FC) is employed. For HD based CS, each secondary user (SU) sends a one-bit hard local decision to the FC. For SD based CS, each SU sends a quantized version of a local decision statistic such as the log-likelihood ratio or any suitable sufficient statistic. The decision statistics are sent through channels that may cause errors. The effects of channel errors are incorporated in the analysis through the bit error probability (BEP). For HD based CS, the counting rule or the K-out-of-N rule is used at the FC. For SD based CS, the optimal fusion rule in the presence of reporting channel errors is derived and its distribution is established. A comparison of the two schemes is conducted to show that there is a performance gain in using SD based CS even in the presence of reporting channel errors. In addition, a BEP wall is shown to exist for CS such that if the BEP is above a certain value, then irrespective of the received signal strength corresponding to the primary user, the constraints on false alarm probability and detection probability cannot be met. It is shown that the performance of HD based CS is very sensitive to the BEP wall phenomenon while the SD based CS is more robust in that sense.
AB - This paper focuses on the performance analysis and comparison of hard decision (HD) and soft decision (SD) based approaches for cooperative spectrum sensing in the presence of reporting channel errors. For cooperative sensing (CS) in cognitive radio networks, a distributed detection approach with displaced sensors and a fusion center (FC) is employed. For HD based CS, each secondary user (SU) sends a one-bit hard local decision to the FC. For SD based CS, each SU sends a quantized version of a local decision statistic such as the log-likelihood ratio or any suitable sufficient statistic. The decision statistics are sent through channels that may cause errors. The effects of channel errors are incorporated in the analysis through the bit error probability (BEP). For HD based CS, the counting rule or the K-out-of-N rule is used at the FC. For SD based CS, the optimal fusion rule in the presence of reporting channel errors is derived and its distribution is established. A comparison of the two schemes is conducted to show that there is a performance gain in using SD based CS even in the presence of reporting channel errors. In addition, a BEP wall is shown to exist for CS such that if the BEP is above a certain value, then irrespective of the received signal strength corresponding to the primary user, the constraints on false alarm probability and detection probability cannot be met. It is shown that the performance of HD based CS is very sensitive to the BEP wall phenomenon while the SD based CS is more robust in that sense.
KW - BEP wall
KW - counting rule
KW - distributed sensing
KW - multi-bit decision statistics
KW - performance analysis
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U2 - 10.1109/TSP.2011.2170978
DO - 10.1109/TSP.2011.2170978
M3 - Article
AN - SCOPUS:84555196780
SN - 1053-587X
VL - 60
SP - 18
EP - 28
JO - IEEE Transactions on Signal Processing
JF - IEEE Transactions on Signal Processing
IS - 1
M1 - 6036191
ER -