In this paper, we have discussed the integration of Cognitive Radio (CR) in Low Power Wide Area Network (LPWAN) based on a generic network architecture and a PHY layer front-end model. Essentially, since most existing LPWAN technologies are proprietary in nature, it is necessary to present insights that may spur newer developments to enhance many Internet of Things (IoT)-based applications, including Industrial IoT (IIoT) applications such as smart factories, smart metering, and smart city architectures. Generally, this paper will benefit researchers who may be seeking to develop CR-LPWAN systems towards enhancing IoT-based applications.
Reference:
Onumanyi, A., Abu-Mahfouz, A.M. & Hancke, G. 2019. Towards Cognitive Radio in Low Power Wide Area Network for Industrial IoT Applications. IEEE. http://hdl.handle.net/10204/11513 .
Onumanyi, A., Abu-Mahfouz, A. M., & Hancke, G. (2019). Towards Cognitive Radio in Low Power Wide Area Network for Industrial IoT Applications. IEEE. http://hdl.handle.net/10204/11513
Onumanyi, AJ, Adnan MI Abu-Mahfouz, and GP Hancke. "Towards Cognitive Radio in Low Power Wide Area Network for Industrial IoT Applications." (2019): http://hdl.handle.net/10204/11513
Onumanyi A, Abu-Mahfouz AM, Hancke G, Towards Cognitive Radio in Low Power Wide Area Network for Industrial IoT Applications; IEEE; 2019. http://hdl.handle.net/10204/11513 .