Private fifth-generation mobile communication networks (5G) have garnered considerable attention for providing various communication services. In private 5G systems, such as those employed in smart factories, it is necessary to appropriately manage the interference power among diverse systems because each nonpublic operator deploys a gNodeB in the local area and utilizes a similar allocated frequency. Several researchers have discussed the use of a radio map, which stores the spatial distribution of received signal power values as a tool for managing intra-system interference. Radio maps are typically applied to television white space, where the location of the base station (BS) is fixed and the average value of the received signal power exhibits time-invariant characteristics. However, in private 5G networks, the estimation accuracy using a conventional radio map is lowered because the location of the BS may be changed when the factory is rearranged. In this study, a database server is used to infer a significant difference in the average values of the received signal power by means of Welch’s ${t}$ -test; the server then updates the radio map based on the test results. The simulation results indicate that the proposed method can detect changes in the BS location and update the radio map accurately.

中文翻译：

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使用统计假设检验的动态无线电地图

私有的第五代移动通信网络（5G）因提供各种通信服务而备受关注。在私有 5G 系统中，例如智能工厂中使用的系统，需要适当管理不同系统之间的干扰功率，因为​​每个非公共运营商都在本地部署了一个 gNodeB 并使用相似的分配频率。一些研究人员讨论了无线电地图的使用，它存储接收信号功率值的空间分布，作为管理系统内干扰的工具。无线电地图通常应用于电视空白空间，其中基站 (BS) 的位置是固定的，并且接收信号功率的平均值表现出时不变的特性。然而，在私有 5G 网络中，由于当工厂重新布置时BS的位置可能改变，因此使用传统无线电地图的估计精度降低。在这项研究中，数据库服务器用于通过韦尔奇的方法推断接收信号功率平均值的显着差异 ${t}$ -测试; 服务器然后根据测试结果更新无线电地图。仿真结果表明，所提出的方法可以检测基站位置的变化并准确地更新无线电地图。