IoT Enabled Intelligent Receiver Synchronization System for Long-Range 6G Consumer Technology

The enhanced high-order chirp spread spectrum (Chirp Spread Spectrum, CSS) modulation technique known as Lora (Long Range) technology has emerged as a popular modulation method for the terrestrial Internet of Things (IoT) on 6G connectivity. Artificial Intelligence (AI) has been a major driver of the consumer electronics industry’s amazing and revolutionary progress over the last ten years. However, the receiver commonly faces significant latency, low signal-to-noise ratio, and Doppler frequency shift due to the lengthy communication range and quick movement. In this work, a satellite Internet of Things system with LoRa technology is used to investigate the non-coherent soft demodulation approach and related receiver synchronization. This study investigates the non-coherent soft demodulation technique and accompanying receiver synchronization by using LoRa technology to a satellite IoT system. The simulation results demonstrate that the turbo-LoRa system can achieve near-ideal error performance at very low SNR and little pilot overhead. At BER=10-5, it outperforms the Hamming-LoRa system by 3 dB. The findings of the simulation indicate that the delay and numerous turbo-LoRa system with the suggested synchronization method and non-coherent soft demodulation algorithm can achieve good bit error performance with fewer pilot symbols when the Puller frequency shift is present concurrently.