Artificial intelligence linear regression model for mobility robustness optimization algorithm in 5G cellular networks

Artificial intelligence linear regression model for mobility robustness optimization algorithm in 5G cellular networks

Ensuring reliable and stable communication links between User Equipment (UE) and serving cellular networks during UE movement is one of the significant difficulties facing the deployment of the Fifth Generation (5G) and Sixth Generation (6G) of cellular networks. Therefore, the Handover Parameters S...

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Bibliographic Details
Main Authors: Sawsan Ali Saad, Ibraheem Shayea, Nada M.O. Sid Ahmed
Format: Article
Language:English
Published: Elsevier 2024-02-01
Series:Alexandria Engineering Journal
Subjects:
Handover control parameters
Mobility robustness optimization
Handover optimization algorithm
Adaptive handover parameters
Self-optimization
5G
Online Access:http://www.sciencedirect.com/science/article/pii/S1110016824000176

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http://www.sciencedirect.com/science/article/pii/S1110016824000176

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