DocumentCode :
2093934
Title :
Optimal soft combination for cooperative spectrum detection in distributed antenna systems
Author :
Yu, Wentao ; Yu, Shuyang ; Wang, Xiangyang
Author_Institution :
Nat. Mobile Commun. Res. Lab., Southeast Univ., Nanjing, China
fYear :
2010
fDate :
11-14 Nov. 2010
Firstpage :
1378
Lastpage :
1381
Abstract :
In this paper, we consider cooperative spectrum detection based on energy detection in distributed antenna systems. Soft combination of the observed energies from different cognitive radio users is investigated. Based on the Neyman-Pearson criterion, we obtain an optimal soft combination scheme that maximizes the detection probability for a given false alarm probability. We derive closed-form expressions for the probabilities of detection and false alarm for the optimal soft combination scheme. Finally, we show through numerical results the improvement in cooperative spectrum detection with the optimal soft combination.
Keywords :
MIMO communication; cognitive radio; fading channels; transmitting antennas; Neyman-Pearson criterion; closed-form expressions; cooperative spectrum detection; distributed antenna systems; energy detection; optimal soft combination; MIMO; cognitive radio; cooperative spectrum detection; distributed antenna systems; energy detection; optimal soft combination;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communication Technology (ICCT), 2010 12th IEEE International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-6868-3
Type :
conf
DOI :
10.1109/ICCT.2010.5689029
Filename :
5689029
Link To Document :
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