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Deep Learning-Based Cell-Level and Beam-Level Mobility Management System.

Roman Klus¹, Lucie Klus^1,2, Dmitrii Solomitckii¹

¹Electrical Engineering Unit, Tampere University, 33014 Tampere, Finland.

Sensors (Basel, Switzerland)

|December 16, 2020

Summary

This summary is machine-generated.

This study introduces artificial neural networks for 5G New Radio mobility management. The models significantly reduce handovers and proactively select optimal serving cells and beams, even with signal uncertainties.

Keywords:

5G New Radio artificial neural network beam-level mobility handover mobility management supervised learning

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Area of Science:

Telecommunications Engineering
Artificial Intelligence in Wireless Networks

Background:

5G New Radio (NR) deployment with beamforming requires efficient mobility management.
Current systems face challenges with signal uncertainty, leading to interruptions and excessive handovers.

Purpose of the Study:

To propose artificial neural network (ANN) models for optimizing cell-level and beam-level mobility management in 5G NR.
To enhance network reliability and minimize user-experienced interruptions during mobility events.

Main Methods:

Development of two ANN models: one for cell-level and one for beam-level mobility.
Models utilize convolutional and dense layers, processing received power and positioning data.
Input data includes current/past measurements and positioning information for decision-making.

Main Results:

The cell-level model reduced handovers by up to 94.4% compared to benchmarks under signal uncertainty.
The beam-level model proactively identified and maintained the strongest serving beam despite measurement uncertainties.
Both models demonstrated robust performance in managing mobility under challenging signal conditions.

Conclusions:

ANN-based mobility management offers significant improvements in 5G NR network efficiency and reliability.
The proposed models effectively mitigate issues caused by signal shadowing and interference.
Optimized mobility management is crucial for seamless user experience in advanced wireless networks.