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Cognitive radio,which is capable of enabling dynamic spectrum access,is a promising technology in future wireless communication.The feasibility of cognitive radio network greatly depends on the energy efciency and reliability of spectrum sensing technology.In this paper,spectrum sensing in cognitive ad-hoc network(CAN)with wide-band dynamic spectrum is considered.A cognitive cluster head(CCH)is set and responsible for dividing the wide-band spectrum into multiple sub-channels;it can either sense sub-channels in a centralized manner,or make use of sensing modules to sense sub-channels in a distributed manner.Then cognitive users(CUs)can get sensing results and access to the available sub-channel.We take the cost of control message into consideration and formulate the energy consumption of CAN in terms of sub-channel sampling rate and whole-band sensing time.We define energy efciency intuitively and solve the energy efciency optimization problem with sensing reliability constraints by constructing a parametric problem and obtain the optimal sampling rate and the wholeband sensing time.Power dissipation model of a practical A/D convertor(ADC)is introduced,and numerical results are given to show the energy efciency performance of two diferent sensing manners.
Cognitive radio, which is capable of enabling dynamic spectrum access, is a promising technology in future wireless communication. The feasibility of cognitive radio network greatly depends on the energy efciency and reliability of spectrum sensing technology. In this paper, spectrum sensing in cognitive ad- hoc network (CAN) with wide-band dynamic spectrum is considered. A cognitive cluster head (CCH) is set and responsible for dividing the wide-band spectrum into multiple sub-channels; it can either sense sub-channels in a centralized manner, or make use of sensing modules to sense sub-channels in a distributed manner. Cognitive users (CUs) can get sensing results and access to the available sub-channel. We take the cost of control messages into consideration and formulate the energy consumption of CAN in terms of sub-channel sampling rate and whole-band sensing time. We define energy efciency intuitively and solve the energy efciency optimization problem with sensing reliability constraints by co nstructing a parametric problem and obtaining the optimal sampling rate and the wholeband sensing time. Power dissipation model of a practical A / D convertor (ADC) is introduced, and numerical results are to show the energy efciency performance of two diferent sensing manners.