Development of Interference Mitigation Technique for Low Power Wide Area Network

Abstract

Evolution of technology has been rapid in recent years and with the wide acceptance of 5G/6G networks, Internet of Things (IoT), Machine Learning (ML), blockchain technologies, there must be a methodology of interconnecting them across large proximity or regions to centralized servers. Existing mobile technologies are not suitable to ensure communications between these devices, and this has necessitated the need to create Low Power Wide Area Network (LPWAN). The LPWAN, assuming a set of networks, is considered to have subsets including Sigfox, LoRaWAN, NB-IoT and others. For any real system, there is always collision between packets upon arrival, thereby subtracting and extracting the weaker ones. In this work, a Repetitive Interference Mitigation algorithm is proposed, with focus on power differences between User Equipment (UE) and guard subcarriers. This process ensures decryption of the packets that arrive at the same time. Usage of just one guard subcarriers and multiple iterations of the developed technique is suitable to ensure a very good system performance and has a throughput of 36% as compared with other methods.