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