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Long Range (LoRa) technology has emerged as a promising communication solution for low power wide area networks. However, its ALOHA-based medium access scheme is prone to collisions, leading to limited network scalability. In congested LoRa networks, simultaneous transmission by multiple users using different spreading factors (SFs) results in inter-SF multi-user interference (MUI), thereby increasing packet loss likelihood under low signal-to-interference ratio (SIR) conditions. In this paper, we show the impact of MUI and propose an iterative interference cancellation method based on signal segmentation to address this issue. Our approach incorporates an algorithm for detecting MUI, which effectively identifies multiple interference SFs without prior knowledge, enabling interference cancellation without synchronizing interfering signals. Our numerical analysis demonstrates that MUI significantly impacts …