Identification and Analysis of a Unique Cell Selection Phenomenon in Public Unlicensed Cellular Networks Through Machine Learning-Reference-Cited by-同舟云学术

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

Published:2022 Issue: Volume:10 Page:87282-87301
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Kala Srikant Manas¹,Sathya Vanlin²^ORCID,Dahiya Kunal³,Higashino Teruo⁴,Yamaguchi Hirozumi¹^ORCID

Affiliation:

1. Mobile Computing Laboratory, Graduate School of Information Science and Technology, Osaka University, Suita, Osaka, Japan

2. The University of Chicago, Chicago, IL, USA

3. Indian Institute of Technology Delhi, Delhi, India

4. Kyoto Tachibana University, Kyoto, Japan

Funder

National Institute of Information and Communications Technology (NICT), Japan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09858877.pdf?arnumber=9858877

Reference42 articles.

1. Power savings in small cell deployments via sleep mode techniques

2. Fast Spectral Assessment for Handover Decisions in 5G Networks

3. Locating eNodeBs through sectorization inference—Sector fitting evaluated on a railway use case

4. Learning-based Tracking Area List Management in 4G and 5G Networks

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