Age of Information in Random Access Networks with Stochastic Arrivals
Age of Information in Random Access Networks with Stochastic Arrivals
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DOI：
10.1109/infocom42981.2021.9488897
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发表时间：
2021-05
期刊：
影响因子：
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通讯作者：
I. Kadota;E. Modiano
中科院分区：
文献类型：
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作者：
I. Kadota;E. Modiano
我们考虑一个随机接入网络与一些节点发送时间敏感的信息到一个无线基站。分组根据随机过程生成，并且节点采用时隙ALOHA或载波侦听多路访问（CSMA）来传输这些分组。当两个或多个节点同时传输时发生分组冲突，并且当节点在没有干扰的情况下传输时发生成功的分组传输。我们的目标是优化随机接入机制的信息新鲜度，这是捕获的信息年龄（AoI）metric.In本文中，我们提出了一个框架来分析和优化随机接入网络中的平均AoI随机分组生成。特别是，我们开发了一个离散时间模型，推导出一个近似表达式的平均AoI在网络中，然后使用这个表达式来优化随机接入机制。此外，我们在软件定义无线电测试平台中实现了优化的随机接入机制，并将AoI测量结果与分析和数值结果进行了比较，以验证我们的框架。我们的方法使我们能够评估的数据包生成率，传输概率和规模的网络上的AOI性能的综合影响。
We consider a Random Access network with a number of nodes transmitting time-sensitive information to a wireless base station. Packets are generated according to a stochastic process and nodes employ either Slotted-ALOHA or Carrier-Sense Multiple Access (CSMA) to transmit these packets. A packet collision occurs when two or more nodes transmit simultaneously and a successful packet transmission occurs when a node transmits without interference. The goal is to optimize the Random Access mechanism in terms of information freshness, which is captured by the Age of Information (AoI) metric.In this paper, we propose a framework to analyze and optimize the average AoI in Random Access networks with stochastic packet generation. In particular, we develop a discrete-time model, derive an approximate expression for the average AoI in the network, and then use this expression to optimize the Random Access mechanism. Furthermore, we implement the optimized Random Access mechanism in a Software Defined Radio testbed and compare the AoI measurements with analytical and numerical results in order to validate our framework. Our approach allows us to evaluate the combined impact of the packet generation rate, transmission probability, and size of the network on the AoI performance.