Implementation of the Data Conversion Function for Wireless Environments for Beyond 5G Applications

Keishi Tokugawa, Jin Nakazato, Hiroki Matsuo, Keiichi Kubota, K. Sakaguchi
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Abstract

Discussions have begun worldwide toward Beyond 5G/6G in the 2030s. In these challenges, the topic of intelligence is a controversial point on various layers of RAN (radio-access-network), core, edge, automation, etc. One of the ideas on that topic is a digital twin platform that integrates physical and cyberspace. This study focuses on the RAN side as the data input to the digital twin. Mainly, this paper proposes a method to obtain accurate coverage data and store it in cyberspace in a dynamically changing coverage environment. Besides, we implement the proposed method and evaluate its measurement results and effectiveness in an outdoor proof-of-concept field.
超5G无线环境下数据转换功能的实现
全球已经开始讨论在21世纪30年代超越5G/6G。在这些挑战中,智能的话题在无线接入网络、核心、边缘、自动化等各个层面上都是一个有争议的点。关于这个主题的一个想法是一个数字孪生平台,将物理和网络空间结合起来。本研究的重点是RAN端作为数字孪生的数据输入。本文主要提出了一种在动态变化的覆盖环境下获取准确的覆盖数据并将其存储在网络空间的方法。此外,我们在室外概念验证领域中实施了所提出的方法,并评估了其测量结果和有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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