Dual-MAB Distributed LoRa Random Access for Low-Latency Ultra-Dense Networks under User Asymmetry

Key Points

• The proposed approach increases system access success rate by approximately 2.1 times compared to previous methods, enhancing performance under congestion.
• Key evidence shows that the method improves long-distance node group performance by about threefold, indicating significant efficacy in dense environments.
• Observational analysis engaged the dynamic adjustment of backoff window sizes in response to network congestion and link quality behaviors.
• The findings highlight improved packet success rates and energy efficiency, especially crucial in highly congested scenarios.

Abstract