Identification and Analysis of a Unique Cell Selection Phenomenon in Public Unlicensed Cellular Networks Through Machine Learning

Identification and Analysis of a Unique Cell Selection Phenomenon in Public Unlicensed Cellular Networks Through Machine Learning

Cellular operators deploy 4G License Assisted Access (LAA) and 5G NR-U base stations in the unlicensed spectrum to enhance overall network capacity. This work highlights a unique phenomenon related to Physical Cell Id (PCI) that is observed in public LAA operator deployments. Notably, the licensed a...

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Bibliographic Details
Main Authors: Srikant Manas Kala, Vanlin Sathya, Kunal Dahiya, Teruo Higashino, Hirozumi Yamaguchi
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Unlicensed networks
cell selection
machine learning
imbalanced classification
LAA
NR-U
Online Access:https://ieeexplore.ieee.org/document/9858877/

Internet

https://ieeexplore.ieee.org/document/9858877/

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