In this paper, we present an overview of Nearest neighbor (NN) methods, which are frequently employed for solving classification problems using supervised learning. The article concisely introduces the theoretical background, algorithmic, and implementation aspects along with the key applications. From an application standpoint, this article explores the challenges related to the 5G and beyond wireless networks which can be solved using NN classification techniques.

中文翻译：

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最近邻方法及其在 5G 及以后无线网络设计中的应用

在本文中，我们概述了最近邻 (NN) 方法，这些方法经常用于使用监督学习解决分类问题。文章简要介绍了理论背景、算法和实现方面以及关键应用。从应用的角度来看，本文探讨了与 5G 及以后的无线网络相关的挑战，这些挑战可以使用 NN 分类技术解决。