论文标题
带基于OWC的物联网的捕获的Aloha：有限的块长度性能分析
Slotted Aloha with Capture for OWC-based IoT: Finite Block-Length Performance Analysis
论文作者
论文摘要
在本文中，我们提出了一个室内光学无线通信（OWC）的物联网（IoT）系统的插槽Aloha（SA）启发的解决方案。假设OWC接收器利用了捕获效果，我们对解码源自随机选择的OWC IoT Transmitter的短长度数据包的误差概率感兴趣。呈现的OWC系统分析取决于信噪比和差异比率（SINR）统计的推导以及有限块长度（FBL）信息理论的使用，从中得出相关的错误概率和吞吐量。使用派生的表达式，我们获得了数值结果，这些结果将进一步用于表征系统性能与OWC系统设置参数之间的权衡。基于室内OWC的系统几何形状在系统性能中起着重要作用，因此，呈现的结果可以用作系统设计的指南，以优化基于SA的基于SA的随机访问协议的性能。
In this paper, we propose a Slotted ALOHA (SA)-inspired solution for an indoor optical wireless communication (OWC)-based Internet of Things (IoT) system. Assuming that the OWC receiver exploits the capture effect, we are interested in the derivation of error probability of decoding a short-length data packet originating from a randomly selected OWC IoT transmitter. The presented OWC system analysis rests on the derivation of the signal-to-noise-and-interference-ratio (SINR) statistics and usage of finite block-length (FBL) information theory, from which relevant error probability and throughput is derived. Using the derived expressions, we obtain numerical results which are further utilized to characterize the trade-offs between the system performance and the OWC system setup parameters. The indoor OWC-based system geometry plays an important role in the system performance, thus the presented results can be used as a guideline for the system design to optimize the performance of the SA-based random access protocol.
