NCDT-CSS: Enhancing Performance Using Noncoherent Distributed Transmission of Chirp Spread Spectrum

Internet of Things (IoT) communication in rural areas faces significant challenges due to limited infrastructure and power constraints, making long-range communication difficult. To address this, we propose a novel noncoherent distributed transmission of chirp spread spectrum (NCDT-CSS) waveform that enables power-efficient, long-range communication by allowing multiple asynchronous transmitters to send the same data. Unlike existing methods, our NCDT-CSS framework uses a least squares (LS)-based detector to extract symbols from the complex received signal without relying on intricate synchronization algorithms. The process involves estimating time, frequency, phase offsets, and channel conditions, followed by symbol detection using single-window (SW) and two-window (TW) LS-based detectors. Simulation results show that the NCDT-CSS framework, combined with an LS-based detector, offers superior bit error rate (BER) performance, contributing to an extended communication range. Additionally, hardware implementation validates the model’s effectiveness, demonstrating enhanced data rates at a lower spreading factor (SF). These results confirm that the NCDT-CSS system is a robust solution for IoT communication in rural areas, providing low-power long-range capabilities with enhanced data rates.