Abstract
We consider a Sensor-Aided Cognitive Radio Network (SACRN) in which sensors capable of harvesting energy are distributed throughout the network to support secondary transmitters for sensing licensed channels in order to improve both energy and spectral efficiency. Harvesting ambient energy is one of the most promising solutions to mitigate energy deficiency, prolong device lifetime, and partly reduce the battery size of devices. So far, many works related to SACRN have considered single secondary users capable of harvesting energy in whole slot as well as short-term throughput. In the paper, we consider two types of energy harvesting sensor nodes (EHSN): Type-I sensor nodes will harvest ambient energy in whole slot duration, whereas type-II sensor nodes will only harvest energy after carrying out spectrum sensing. In the paper, we also investigate long-term throughput in the scheduling window, and formulate the throughput maximization problem by considering energy-neutral operation conditions of type-I and -II sensors and the target detection probability. Through simulations, it is shown that the sensing energy consumption of all sensor nodes can be efficiently managed with the proposed scheme to achieve optimal long-term throughput in the window.
Highlights
Cognitive radio (CR) technology and green wireless systems have received much attention from the radio research community as promising approaches for improving spectrum utilization and enhancing energy efficiency, respectively
Unlike previous papers related to Sensor-Aided Cognitive Radio Network (SACRN) [10,11], we investigate the maximization of long-term throughput of SACRN by considering the scheduling window composed of multiple time slots as well as continuous energy arrival rate
Cognitive Radio Network Model In Cognitive Radio Network (CRN), as shown in Figure 1, we consider a link established on the licensed channel between two secondary users and assume that data is always available to be transferred from the secondary transmitter to the secondary receiver
Summary
Cognitive radio (CR) technology and green wireless systems have received much attention from the radio research community as promising approaches for improving spectrum utilization and enhancing energy efficiency, respectively. At the beginning of each timeslot, based on available energy and possibilities of arrival harvested energy packets, an MDP framework is utilized to determine which action to perform, spectrum sensing, transmission, or sleeping, to maximize long-term throughput. Throughput maximization for a single secondary user with energy harvesting function is considered where a pair of sensing threshold and sensing duration is fully studied. We consider a SACRN in which sensor nodes capable of harvesting energy are distributed over CR network to support secondary transmitters in sensing the licensed channel. The objective of the paper is to schedule harvested-energies of different sensor nodes for Cooperative Spectrum Sensing (CSS) over the scheduling window to detect availability of licensed channel for SU access as well as to maximize long-term throughput under the constraints of energy-neutral operation and primary user collision.
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