Problem
Research questions and friction points this paper is trying to address.
Massive IoT
Finite Block-Length
Satellite Backhaul
Atmospheric Attenuation
Short Packet Communication
Sensing Assisted Satellite Backhaul with FBL UL and Broadcast DL for Massive IoT
🤖 AI Summary
This study addresses the reliability bottleneck caused by finite blocklength effects in large-scale Internet of Things networks and the sensitivity of low Earth orbit satellite backhaul to atmospheric attenuation. To this end, it constructs a unified sensing-assisted satellite backhaul framework that jointly models uplink random access, backhaul adaptation, and downlink broadcast transmission. Methodologically, an end-to-end joint optimization model is proposed to achieve secure backhaul adaptation under finite blocklength constraints based on a conservative signal-to-noise ratio margin. The system modeling integrates stochastic geometry analysis, atmospheric sensing techniques, and finite blocklength theory. The research reveals the optimal uplink access probability, significantly enhancing system robustness under uncertain atmospheric attenuation conditions.
📝 Abstract
Massive Internet of Things (IoT) networks operate with short packets whose reliability is limited by finite block- length (FBL) effects, while remote deployments increasingly rely on Low Earth Orbit (LEO) satellites for backhaul connectivity that is sensitive to atmospheric attenuation. In this paper, we pro- pose a unified end-to-end framework for satellite-assisted massive IoT networks that jointly models uplink FBL random access, sensing assisted satellite backhaul, and worst user broadcast downlink transmission. Uplink reliability is characterized using stochastic geometry, while atmospheric sensing and conservative SNR margins enable FBL-safe backhaul adaptation. Numerical results reveal an optimal uplink access probability due to the tradeoff between spatial reuse and FBL reliability, and show that sensing assisted backhaul margins significantly improve robustness against attenuation uncertainty.
Innovation
Methods, ideas, or system contributions that make the work stand out.
Finite Block-Length (FBL)
Sensing Assisted Backhaul
Stochastic Geometry
Massive IoT
LEO Satellite
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