Nearest neighbor Methods and their Applications in Design of 5G & Beyond Wireless Networks
Networking and Internet Architecture
2021-07-19 v1 Machine Learning
Signal Processing
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.
Keywords
Cite
@article{arxiv.2107.07869,
title = {Nearest neighbor Methods and their Applications in Design of 5G & Beyond Wireless Networks},
author = {Syed Ali Raza Zaidi},
journal= {arXiv preprint arXiv:2107.07869},
year = {2021}
}