Integrated Cooperative Spectrum Sensing and Access Control for Cognitive Industrial Internet of Things

Industrial Internet of Things (IIoT) usually utilizes 2.4-GHz unlicensed frequency band, which is also heavily used by many other communication systems, such as ZigBee, WiFi, Bluetooth, etc. Therefore, the lack of spectrum resources has become a key technical bottleneck to restrict the development of IIoT. Integrating cognitive radio (CR) into IIoT, Cognitive IIoT (CIIoT) can cope with the spectrum resource shortage by accessing the frequency bands licensed to primary user (PU). However, spectrum sensing and access control must be performed to avoid bringing severe interference to the PU. In this article, an integrated cooperative spectrum sensing (CSS) and access control model is proposed to improve the transmission performance of the CIIoT while guaranteeing the CSS's detection probability and controlling the interference to the PU. This model is optimized to maximize the total throughput of IIoT in each frame by jointly optimizing sensing time, the number of sensing nodes and the transmit power for each node under the constraints of the minimum detection probability, the total power control, the interference control, and the minimum rate for each node. The optimization problem is solved by the joint optimization of spectrum sensing and access control. A simultaneous CSS and access control model is also proposed to increase the communication time by using one time slot to perform CSS and access control simultaneously. The simulation results show that there exist optimal sensing and control parameters to maximize the total throughput of CIIoT.

Automated summary

The lack of spectrum resources has become a key technical bottleneck for the development of Industrial Internet of Things (IIoT), as the 2.4-GHz unlicensed frequency band it utilizes is heavily used by other communication systems. The proposed integrated cooperative spectrum sensing and access control model aims to improve the transmission performance of Cognitive IIoT (CIIoT) while ensuring a high detection probability and controlling interference to primary users (PU). The optimization problem is solved by jointly optimizing spectrum sensing and access control parameters, and a simultaneous CSS and access control model is also presented to increase communication time.