具有能量缓冲的基于反向散射的环境物联网设备类别的中断分析
Outage Analysis of Backscatter-Based Ambient IoT Device Classes with Energy Buffering
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中文总结 AI 辅助
研究基于反向散射的环境物联网设备与基站通信的中断概率，提出综合考虑多种因素的分析框架，用离散时间马尔可夫链建模，揭示能量与通信可靠性关系及不同设备在不同状态下的性能差异，为设备选择提供依据。
中文摘要 AI 辅助
本文提出了一个分析框架，用于评估直接与基站通信的环境物联网（A-IoT）设备类别的中断概率。设备1是具有最小存储的无源反向散射设备，设备2配备了超级电容器，可实现能量缓冲和可选放大。所提出的框架综合考虑了载波检测灵敏度、能量收集约束、超级电容器能量动态以及能量感知放大策略，同时使用离散时间马尔可夫链（DTMC）对缓冲设备的能量演化进行建模。结果突出了能量可用性和通信可靠性之间的相互作用。设备2在能量丰富的情况下由于缓冲和放大增益而具有卓越性能，而设备1在能量受限情况下变得更稳健，特别是在较大距离或高负载要求下。这些发现表明，最佳设备选择关键取决于运行状态和应用需求。
英文摘要
This paper presents an analytical framework for evaluating the outage probability of ambient Internet of Things (A-IoT) device classes communicating directly with a base station. Device 1 is a passive backscatter device with minimal storage, while Device 2 is equipped with a supercapacitor that enables energy buffering and optional amplification. The proposed framework jointly accounts for carrier-detection sensitivity, energy harvesting constraints, supercapacitor energy dynamics, and an energy-aware amplification policy, while the energy evolution of buffered devices is modeled using a discrete-time Markov chain (DTMC). The results highlight the interplay between energy availability and communication reliability. Device 2 achieves superior performance in energy-rich regimes due to buffering and amplification gains, whereas Device 1 becomes more robust in energy-constrained regimes, particularly at larger distances or under high payload requirements. These findings highlight that the optimal device choice depends critically on the operating regime and application demands.
