Title :
An energy-efficient cooperative spectrum sensing scheme for cognitive radio networks
Author :
Nan Zhao ; Yu, F. Richard ; Sun, Hongbin ; Nallanathan, Arumugam
Author_Institution :
Sch. of Inf. & Commun. Eng., Dalian Univ. of Technol., Dalian, China
Abstract :
Rapidly rising energy costs and increasingly rigid environmental standards have led to an emerging trend of addressing “energy efficiency” aspect of wireless communication technologies. Cognitive radio can play an important role in improving energy efficiency in wireless networks. In this paper, we propose an energy-efficient and time-saving one-bit cooperative spectrum sensing scheme, which has two stages. If the signal-to-noise ratio (SNR) is high or no primary user exists, only one stage of coarse spectrum sensing is needed, by which the sensing time and energy are saved. Otherwise, the second stage of fine spectrum sensing will be performed to increase the spectrum sensing accuracy. Furthermore, only one-bit decision is sent by each secondary user to minimize the overhead. Plenty of simulation is performed, and the results show that the sensing time and energy consumption are both reduced significantly in the proposed scheme.
Keywords :
cognitive radio; cooperative communication; SNR; cognitive radio networks; energy consumption; energy costs; energy-efficient cooperative spectrum sensing scheme; environmental standards; one-bit decision; overhead minimization; secondary user; sensing time; signal-to-noise ratio; spectrum sensing accuracy; time-saving one-bit scheme; wireless communication technologies; wireless networks;
Conference_Titel :
Global Communications Conference (GLOBECOM), 2012 IEEE
Conference_Location :
Anaheim, CA
Print_ISBN :
978-1-4673-0920-2
Electronic_ISBN :
1930-529X
DOI :
10.1109/GLOCOM.2012.6503674