Performance Analysis of LoRa-Backscatter Communication System in AWGN Channels

Future wireless networks are evolving towards enabling reliable communications for miniature-sized and resource-constrained Internet of things (IoT) devices, imposing stringent requirements on the future mobile networks. These requirements include low cost, ultra-low latency, improved spectral and energy efficiencies, higher reliability, and enhanced data rate. Motivated by the fact that these devices have limited capabilities and might be in inaccessible places, which make battery replacement or recharging a challenging task, energy-efficient solutions are required to ensure uninterrupted and seamless wireless communications for power-limited IoT devices. In this paper, we propose a framework for Long Range (LoRa)-enhanced backscatter communications (BackCom). In particular, we present error-rate performance analysis of the underlying system over additive white Gaussian noise (AWGN) channels. Also, simulation results are presented in order to validate the analytical framework, and to give useful insights into the error rate performance of LoRa-BackCom over AWGN channels.