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Title	Dynamic Spreading Factor Assignment In Lora Wireless Networks
ID_Doc	21412
Authors	Hamdi R.; Qaraqe M.; Althunibat S.
Year	2020
Published	IEEE International Conference on Communications, 2020-June
DOI	http://dx.doi.org/10.1109/ICC40277.2020.9149243
Abstract	It is vital and challenging to devise new efficient transmission techniques for next generation wireless networks that support internet of things (IoT) systems. Long range (LoRa) wireless networks are based on the deployment of connected devices with limited energy and where end-devices need higher data rates. This system is a key technology that enables smart city applications. The chirp spread spectrum is used as the modulation technique for LoRa networks which consists of assigning various orthogonal spreading factors (SF) among the connected devices in the network. In particular, each device uses a fixed SF for data transmission, which is assigned based on its distance from the gateway. This paper proposes a new SF assignment scheme aiming at enhancing the overall performance. In particular, the proposed scheme no longer assigns SFs based on the distance; but instead, it assigns them depending on the instantaneous channel realizations. Such a dynamic assignment of the SFs among LoRa users significantly enhances the overall performance compared to conventional SF assignment schemes. The proposed system is evaluated in terms of symbol error rate (SER) via numerical simulations. © 2020 IEEE.
Author Keywords	LoRa networks; SF assignment; symbol error rate

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