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arXiv 2212.03327cs.NIcs.LG
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具有异构噪声源的无线网络同步的神经方法

A neural approach to synchronization in wireless networks with heterogeneous sources of noise

Institute of Electronics, Computer and Telecommunication Engineering, National Research Council of Italy(意大利国家研究委员会电子、计算机与电信工程研究所)

Maurizio Mongelli, Stefano Scanzio

摘要:

本文讨论了在存在影响同步质量因素的情况下,时钟同步的状态估计问题。例如温度变化和延迟不对称。这些工作条件使得同步在许多无线环境中成为一个具有挑战性的问题,例如无线传感器网络或WiFi。动态状态估计是克服非平稳噪声的关键。双向定时消息交换同步协议已被作为参考。没有先验假设的随机环境,没有温度测量的执行。该算法是明确规定离线,而不需要调整一些参数的依赖于工作条件。所提出的方法揭示了是强大的一个大的温度变化,不同的延迟分布和传输路径中的不对称程度。

英文摘要:

The paper addresses state estimation for clock synchronization in the presence of factors affecting the quality of synchronization. Examples are temperature variations and delay asymmetry. These working conditions make synchronization a challenging problem in many wireless environments, such as Wireless Sensor Networks or WiFi. Dynamic state estimation is investigated as it is essential to overcome non-stationary noises. The two-way timing message exchange synchronization protocol has been taken as a reference. No a-priori assumptions are made on the stochastic environments and no temperature measurement is executed. The algorithms are unequivocally specified offline, without the need of tuning some parameters in dependence of the working conditions. The presented approach reveals to be robust to a large set of temperature variations, different delay distributions and levels of asymmetry in the transmission path.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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