Energy efficient cognitive radio network based on multiband sensing and spectrum sharing. Issue 9 (1st June 2014)

• Record Type: Journal Article
• Authors: Shi, Zhiping; Tan, Tian; Teh, Kah Chan; Hung Li, Kwok
• Is Part Of: IET communications. Volume 8:Issue 9(2014)
• Page Start: 1499
• Page End: 1507
• Publication Date: 2014-06-01
• Subjects: cognitive radio -- radio spectrum management -- radiofrequency interference -- channel estimation; energy efficient cognitive radio network -- multiband sensing -- energy consumption -- multiband cognitive radio network -- secondary user -- primary user -- PU protection -- power allocation -- sensing time -- multiband sensing‐based spectrum sharing scheme -- interference power -- optimal sensing time algorithm -- channel gain estimation -- channel number effect; Telecommunication systems -- Periodicals; Speech processing systems -- Periodicals; 621.38205
• DOI: 10.1049/iet-com.2013.0699
• Languages: English
• ISSNs: 1751-8628

Abstract

Abstract : The authors consider the problem of energy consumption in a multiband cognitive radio network, in which a secondary user can sense multiple frequency bands authorised to the primary user (PU) before it decides to access some frequency bands and keep the interference introduced to the PU under a certain threshold. The sensing time and power allocation need to be designed carefully to reduce the energy consumption. Therefore they identify the optimal sensing time and accessing power to minimise the energy consumption of the cognitive radio that simultaneously senses and accesses multiple bands under the multiband sensing‐based spectrum sharing scheme. To obtain the optimal solution, they transform the original problem formulated as the ratio of two functions into another parametric formulation. The interference power is considered as one of constraints in the author's scheme in order to protect the PU. The algorithm of optimal sensing time and power allocation is proposed for the multiband cognitive radio system. Furthermore, they discuss the effect of channel number, interference power and gain estimation of channels on energy consumption and optimal sensing time and validate their schemes and analysis by simulation results.