Joint Sub-Carriers and Spreading Factors Allocation for LoRaWAN IoT Networks

Abstract

Low-power wide-area networks (LPWAN) are gaining a lot of interest to support Internet of things (IoT) applications. LPWAN can provide massive connectivity and services for thousands of nodes with low power consumption, which is crucial for battery-based IoT devices. Different technologies have been proposed for (LPWAN), however, long range wide-area network (LoRaWAN) is one of the most promising and widely used types that provide large-scale deployment, high energy efficiency, and low-cost. Resources allocation in LoRaWAN has vital role to enhance the system performance. In this work, we propose a resource allocation technique that aims to minimize the total system transmit power. The proposed technique exploits the Hungarian matching algorithm to assign both the LoRaWAN spreading factors (SFs) and the sub-carriers (SCs) for different end nodes. The results show that the performance of the proposed Hungarian-based resources allocation algorithm reduces the power consumption compared with other conventional algorithms. Additionally, it provides a better energy efficiency.