Abstract
The massive number of Internet of Things (IoT) applications is allowed by Low-Power Wide-Area Networks (LPWAN) with an extensive geographical area, low bit rate, and longevity specifications. The LoRa technology is a notable LPWAN that utilizes a proprietary Chirp Spread Spectrum (CSS) physical layer. Simultaneously, the LoRaWAN is defined as the media access control (MAC) protocol for large-scale deployment. It is intended to let low-powered applications to interact with massive requests that are connected through extensive wireless links. The aimed dense network distribution will inescapably lead to a scarcity of radio resources and have an issue with scalability when massive devices are connected to the network. In this paper, we propose a mathematical model to improve the link budget and scalability of LoRaWAN networks. Simulations using Matlab for different network scenarios illustrate the effectiveness of the optimization procedure.
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Acknowledgements
This research is supported by Tempus Public Foundation, Stipendium Hungaricum Scholarship Programme and High Speed Networks Lab, Department of Telecommunications and Media Informatics, Budapest University of Technology. “This work was supported by the Ericsson - BME 5G joint research and cooperation project, partly funded by the National Research, Development and Innovation Office, Hungary with project number 2018-1.3.1-VKE-2018-00005.”
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Rajab, H., Tiansheng, X., Cinkler, T. (2022). Improving LoRaWAN Networks Performance Through Optimized Radio Resource Management. In: Singh, P.K., Singh, Y., Chhabra, J.K., Illés, Z., Verma, C. (eds) Recent Innovations in Computing. Lecture Notes in Electrical Engineering, vol 855. Springer, Singapore. https://doi.org/10.1007/978-981-16-8892-8_21
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