Investigating Impact of 5G Mobility Management Over Handover

M Yadav, D Nandal - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
The advent of 5G and other technological advancements will provide enhanced mobile
broadband, significantly reduced latency in communications, and the accommodation of …

Reinforcement Learning for Mobile Network Optimization

HMMA Sakka Amini - 2023 - ntnuopen.ntnu.no
Denne oppgaven bruker forsterkningslæring (RL) for å optimalisere ytelsen til
mobilnettverket. Hovedfokuset er å optimalisere ytelsen til overleveringsprosessen …

Mitigating the Challenges of Low-Latency Services in Future Wireless Networks

C Tunc - 2022 - search.proquest.com
Abstract Advancements in Fifth Generation (5G) networks lead the way to a variety of new
use cases and services with stringent capacity, data rate, and latency requirements …

5G Handover Analysis in Real Network

HW Kao, EHK Wu, CH Lan - … , Internet of Things and Big Data …, 2023 - ieeexplore.ieee.org
Handover (HO) is the key function to maintaining users' connections while moving within the
coverage of cellular communication networks. During the HO process, it is possible to …

Key Technologies for Beamforming in Millimeter Wave Communication System

G Qian, W Liu, D Hao, W Li - Journal of Physics: Conference …, 2021 - iopscience.iop.org
Millimeter wave (mmWave) is one of the key technologies of 5G. It can solve the problem of
insufficient spectrum resources. However, mmWave links are easily affected by the …

[PDF][PDF] Machine Learning-based Prediction of Handovers and Unnecessary Handovers in a Long-Term Evolution Network

T Aspegårdh, L Gardebrand - 2022 - diva-portal.org
With the continued expansion of 5G networks and billions of mobile subscriptions existing
worldwide, the need for maintaining high Quality of Service in ICT is as important as ever …

[PDF][PDF] Proportionally Fair Resource Allocation Considering Geometric Blockage Modeling for Improved Mobility Management in 5G

P Anna, D Gölitz, F Mehmeti, W Kellerer - MSWiM, 2022 - mediatum.ub.tum.de
ABSTRACT Line of Sight (LoS) blockages are a common occurrence in densely deployed
cellular networks, as is the case with 5G. This leads to a significant deterioration in the signal …

[图书][B] Optimization of Handover, Survivability, Multi-Connectivity and Secure Slicing in 5G Cellular Networks Using Matrix Exponential Models and Machine Learning

RA Paropkari - 2022 - search.proquest.com
This works proposes optimization of cellular handovers, cellular network survivability
modeling, multi-connectivity and secure network slicing using matrix exponentials and …

[PDF][PDF] Advanced Mobility Robustness Optimization Models in Future Mobile Networks Based on Machine Learning Solutions

YI DARADKEH - academia.edu
Ultra-dense heterogeneous networks (HetNets) are deployment scenarios in the advent of
fifth generation (5G) and beyond network generations. A massive number of small base …

[PDF][PDF] Holistic Mobility Management leveraging Risk Averse Reinforcement Learning

MUB Farooq, SK Kasi, M Manalastas, C Zhu, B Sheen… - ai4networks.com
The trend towards denser base station deployment and multi-band operations in emerging
cellular networks has made mobility management and handover (HO) optimization a …