Aug 14, 2024 · This article describes a novel method for improving mobility management in 5 G networks that employs a deep residual Long Short-Term Memory model.

This article describes a novel method for improving mobility management in 5G networks that employs a deep residual Long Short-Term Memory model.

An intelligent performance analysis of energy‐efficient resource optimization model has been proposed for device‐to‐device (D2D) communication in ...

Using these datasets, this paper examines the characteristics of the recent 5G SA deployment, data plane performance, and mobility management. Our study ...

Enhancing mobility management in 5G networks using deep residual LSTM model. https://doi.org/10.1016/j.asoc.2024.112103 ·. Journal: Applied Soft Computing ...

Enhancing mobility management in 5G networks using deep residual LSTM model. Applied Soft Computing. Profile Image. 1. Profile Image. Abdullah Baz.

Enhancing mobility management in 5G networks using deep residual LSTM model. Abdullah Baz, Jaganathan Logeshwaran, Yuvaraj Natarajan, Shobhit K. Patel.

This article describes a novel method for improving mobility management in 5G networks that employs a deep residual Long Short-Term Memory model. Deep learning ...

Oct 22, 2024 · Enhancing mobility management in 5G networks using deep residual LSTM model ... Through Core Network for Mobility Management in 5G Networks.

This article, presented as a tutorial, focuses on the problem of inter-slice mobility from the perspective of 3GPP standards for 5G.