Machine Learning-Based Handover Failure Prediction Model for Handover Success Rate Improvement in 5G-Reference-Cited by-同舟云学术

Machine Learning-Based Handover Failure Prediction Model for Handover Success Rate Improvement in 5G

Published:2023-01-08 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 20th Consumer Communications & Networking Conference (CCNC)
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Author:

Manalastas Marvin¹,Bin Farooq Muhammad Umar¹,Zaidi Syed Muhammad Asad¹,Ijaz Aneeqa¹,Raza Waseem¹,Imran Ali¹

Affiliation:

1. School of Electrical & Computer Engineering, University of Oklahoma,AI4Networks Research Center,USA

Funder

National Science Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10059462/10059600/10060203.pdf?arnumber=10060203

Reference6 articles.

1. Deep Learning Based Link Failure Mitigation

2. A Data-Driven Framework for Inter-Frequency Handover Failure Prediction and Mitigation

3. A hybrid handover forecasting mechanism based on fuzzy forecasting model in cellular networks

4. A novel handoff decision algorithm in TD-LTE based train-ground communication system;shu;17th International IEEE Conference on Intelligent Transportation Systems (ITS C),2014

5. A Data-Driven Self-Optimization Solution for Inter-Frequency Mobility Parameters in Emerging Networks

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