On Results’ Reporting of Cooperative Spectrum Sensing in Cognitive Radio Networks

Abstract

One of the main challenges of cooperative spectrum sensing in cognitive radio networks is the overhead in terms of high energy consumption especially when reporting the individual sensing results to a common receiver. Such issue becomes more challenging for battery-powered users, because of its direct influence on achievable performance represented by detection accuracy. Thus, energy efficiency in cognitive radio networks has received a lot of attention during recent years. In this paper, we present a novel reporting scheme for spectrum sensing results, which significantly reduces the energy consumption without any effect on the detection accuracy. The proposed scheme allows the fusion center to terminate the reporting process whenever the received results are enough to make a decision according to the employed fusion rule (FR). Hence, the energy consumed in results' reporting is reduced as the number of reporting users is lower, and the data transmission can be started earlier, which enhances the achievable throughput. Moreover, the proposed scheme is consistent with many other energyefficient approaches, leading to improve the energy efficiency achieved by these approaches. Mathematical expressions for the average number of reporting users for several FRs are obtained. Simulation and analytical results show a significant improvement in the energy efficiency.

Optimisation of censoring‐based cooperative spectrum sensing approach with multiple antennas and imperfect reporting channel scenarios for cognitive radio network

“…However, the performance of the SS is improved with CSS, but simultaneously the energy consumption also increases in CRN, which is a critical issue for limited battery‐powered CUs [11]. In this context, to reduce energy consumption, the censoring approach is commonly employed in which the sensing decision of some particular CUs is sent to FC [12, 13].…”

Throughput maximisation in cognitive radio networks with residual bandwidth

“…the legitimate users of the spectrum) spectrum, while the former compels not to adversely influence the quality of service (QoS) of the latter [4]. Equipping the wireless devices with the CR technology can lead to the CR‐based smart wireless network that would adopt an intelligent decision regarding the usage of the spectrum through a proper cooperative cognition among themselves [5]. The CRN expects to face several challenges, e.g.…”

“…Mansukhani et al [10] proposed a simultaneous detection and channel estimation for censoring‐based SS in CRN for throughput maximisation under the constraints of transmit and interference power. The energy‐efficient cooperative SS (CSS) with comparative analyses are addressed in [5]. The work in [11] considers dedicated time slots for CSS and data transmission to find the optimum number of sensing users to maximise the secondary throughput.…”

Neuro‐fuzzy based two‐stage spectrum allocation scheme to ensure spectrum efficiency in CRN–CSS assisted by spectrum agent

“…are used. Decision making is performed with the aim of minimising energy consumption in CRN–CSS [20]. Based on the spectrum sensing results, spectrum availability is detected in the CRN.…”