Nearest neighbor Methods and their Applications in Design of 5G & Beyond Wireless Networks

TL;DR

This paper reviews nearest neighbor methods, detailing their theory and implementation, and discusses their application in addressing challenges in 5G and beyond wireless networks.

Contribution

It provides a comprehensive overview of NN methods and explores their specific use in solving 5G wireless network challenges.

Findings

NN methods are effective for classification in 5G networks

The paper highlights key challenges in 5G that NN can address

Implementation aspects of NN in wireless contexts

Abstract

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.