A New Method to Improve Frequent-Handover Problem in High-Mobility Communications Using RIC and Machine Learning-Reference-Cited by-同舟云学术

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A New Method to Improve Frequent-Handover Problem in High-Mobility Communications Using RIC and Machine Learning

Published:2023 Issue: Volume:11 Page:72281-72294
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Prananto Baud Haryo¹^ORCID,Iskandar ¹,Kurniawan Adit¹^ORCID

Affiliation:

1. School of Electrical Engineering and Informatics, Bandung Institute of Technology, Bandung, Indonesia

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/ielx7/6287639/10005208/10182230.pdf?arnumber=10182230

Reference48 articles.

1. Handover Mechanism in NR for Ultra-Reliable Low-Latency Communications

2. A Survey of Machine Learning Techniques Applied to Self-Organizing Cellular Networks

3. Prediction-Based Conditional Handover for 5G mm-Wave Networks: A Deep-Learning Approach

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. LSTM Neural Network Algorithm for Handover Improvement in a Non-Ideal Network Using O-RAN Near-RT RIC;IEICE Transactions on Communications;2024-06

2. 5G-Connected UAV Handovers in Agricultural Environments: Palm Oil Plantations Insights;2024 IEEE 14th Symposium on Computer Applications & Industrial Electronics (ISCAIE);2024-05-24

3. CSI-RSRP-Based Unnecessary Handover Mitigation Through Linear Regression in Dynamic 5G NR Environments;IEEE Access;2024

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