Nearest neighbour methods and their applications in design of 5G & beyond wireless networks
In this paper, we present an overview of Nearest neighbour (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....
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Elsevier
2021
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oai:doaj.org-article:27ca6430c7504dcd8a57e1b4438f32c12021-11-30T04:16:33ZNearest neighbour methods and their applications in design of 5G & beyond wireless networks2405-959510.1016/j.icte.2021.01.003https://doaj.org/article/27ca6430c7504dcd8a57e1b4438f32c12021-12-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2405959521000035https://doaj.org/toc/2405-9595In this paper, we present an overview of Nearest neighbour (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.S.A.R. ZaidiElsevierarticleNearest neighbour searchNearest neighbour classificationk-NN5GLocalisationBeamformingInformation technologyT58.5-58.64ENICT Express, Vol 7, Iss 4, Pp 414-420 (2021) |
| institution |
DOAJ |
| collection |
DOAJ |
| language |
EN |
| topic |
Nearest neighbour search Nearest neighbour classification k-NN 5G Localisation Beamforming Information technology T58.5-58.64 |
| spellingShingle |
Nearest neighbour search Nearest neighbour classification k-NN 5G Localisation Beamforming Information technology T58.5-58.64 S.A.R. Zaidi Nearest neighbour methods and their applications in design of 5G & beyond wireless networks |
| description |
In this paper, we present an overview of Nearest neighbour (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. |
| format |
article |
| author |
S.A.R. Zaidi |
| author_facet |
S.A.R. Zaidi |
| author_sort |
S.A.R. Zaidi |
| title |
Nearest neighbour methods and their applications in design of 5G & beyond wireless networks |
| title_short |
Nearest neighbour methods and their applications in design of 5G & beyond wireless networks |
| title_full |
Nearest neighbour methods and their applications in design of 5G & beyond wireless networks |
| title_fullStr |
Nearest neighbour methods and their applications in design of 5G & beyond wireless networks |
| title_full_unstemmed |
Nearest neighbour methods and their applications in design of 5G & beyond wireless networks |
| title_sort |
nearest neighbour methods and their applications in design of 5g & beyond wireless networks |
| publisher |
Elsevier |
| publishDate |
2021 |
| url |
https://doaj.org/article/27ca6430c7504dcd8a57e1b4438f32c1 |
| work_keys_str_mv |
AT sarzaidi nearestneighbourmethodsandtheirapplicationsindesignof5gampbeyondwirelessnetworks |
| _version_ |
1718406792911781888 |