A heuristic method-based parallel cooperative spectrum sensing in heterogeneous network

Abstract

With the rapid development of the mobile Internet and the Internet of Things, the number of personal wireless devices and wireless services have grown exponentially resulting in the increase in massive data which requires massive spectrum to transmission. To improve the utilization of scarce spectrum resource, cognitive radio (CR) is considered as the most promising technology. Spectrum sensing is the premise and key technology in CR. However, current spectrum sensing strategies have some issues to sense multiple heterogeneous channels in heterogeneous network, such as neglect of the different performances of each secondary user on heterogeneous channels and sensing task assignment without consideration of the selection of sensing time. To address these issues, two parallel cooperative spectrum sensing strategies based on heuristic method are proposed, which are heuristic method with sensing time exhaustion and heuristic method with sensing time heuristic. These strategies consider both the sensing task assignment and sensing time selection to maximize the available throughput under the restrictions of detection probability and false alarm probability. Monte Carlo simulations show that the proposed strategies can obtain higher available throughputs than iterative Hungarian-based strategy, improved iterative Hungarian-based strategy and greedy-based strategy.