大规模机器通信（massive machine type communication,mMTC）是5G网络的主要应用场景之一，各式各样物理设备连接互通的时代将要来临。在5G mMTC场景中常会遇到大规模设备同时请求接入网络，造成网络拥塞、影响系统通信性能的问题。针对这一问题，文章对5G蜂窝物联网中大规模设备接入算法进行研究，提出一种基于对蜂窝物联网终端数据和网络资源信息进行分析的设备接入算法。通过考虑场景中的设备终端相关信息以及网络资源，结合聚类分析的方法对终端进行聚类划分，并映射至空闲的网络资源块中，实现高效的蜂窝物联网设备接入，使其适用于当前mMTC场景，为目前5G蜂窝物联网设备提供一种有效的接入网络方法。
With the era of interconnected physical devices coming, massive machine type communication (mMTC) is one of the main application scenarios of 5G network. In 5G mMTC scenario, a large number of devices requests to access the network at the same time, causing network congestion and performance degradation. To solve this problem, a device access algorithm based on the analysis of cellular internet of things (IoT) terminal data is proposed. By considering the relevant information of devices and network resources, devices are clustered and mapped to the idle network resource blocks, achieving the efficient access of cellular IoT devices. The proposed method provides an effective access network for 5G cellular IoT devices under mMTC scenarios.
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