[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 …

A framework to address mobility management challenges in emerging networks

SMA Zaidi, H Farooq, A Rizwan… - IEEE Wireless …, 2023 - ieeexplore.ieee.org
The key enablers for emerging cellular networks (such as densification, concurrent
operation at multiple bands, and harnessing mmWave spectrum), give birth to a peculiar set …

Machine learning aided holistic handover optimization for emerging networks

MUB Farooq, M Manalastas, SMA Zaidi… - ICC 2022-IEEE …, 2022 - ieeexplore.ieee.org
In the wake of network densification and multi-band operation in emerging cellular networks,
mobility and handover management is becoming a major bottleneck. The problem is further …

ENHANCED MOBILITY MANAGEMENT ALGORITHMS FOR CELLULAR NETWORKS

응우엔, 민탕 - 2021 - oak.ulsan.ac.kr
The use of mobile phones and other portable devices is continuously increasing the
demand for high quality of experience (QoE) in wireless networks, such as huge data rate …

A survey of machine learning applications to handover management in 5G and beyond

MS Mollel, AI Abubakar, M Ozturk, SF Kaijage… - IEEE …, 2021 - ieeexplore.ieee.org
Handover (HO) is one of the key aspects of next-generation (NG) cellular communication
networks that need to be properly managed since it poses multiple threats to quality-of …

[HTML][HTML] SOMNet: Self-Optimizing mobility management for resilient 5G heterogeneous networks

A Alhammadi, ZH Ismail, I Shayea, ZA Shamsan… - … Science and Technology …, 2024 - Elsevier
Effective mobility management in heterogeneous networks is significant in ensuring
seamless handovers (HOs) between diverse cell types, especially as users move between …

Mobility Robustness Optimization for Self-Organizing Networks: A Deep Reinforcement Learning Approach

K Kim, E Lee, S Pack - 2023 14th International Conference on …, 2023 - ieeexplore.ieee.org
Self-organizing network (SON) has emerged as a promising solution to manage dynamic
and complex wireless/mobile networks without excessive manual intervention. As a key …

[HTML][HTML] Handover parameter for self-optimisation in 6G mobile networks: A survey

U Mahamod, H Mohamad, I Shayea, M Othman… - Alexandria Engineering …, 2023 - Elsevier
One of the most crucial issues in mobile networks is ensuring reliable and stable
connectivity during mobility. In recent years, numerous research has examined Fourth …

Multi-Agent Deep Reinforcement Learning Assisted Pre-connect Handover Management

Y Wei - 2022 - repository.library.carleton.ca
This thesis proposes a MBB adopted handover mechanism, namely, pre-connect handover
(PHO). PHO aims to provide a seamless and reliable handover for 5G networks. PHO …

Machine-learning-based predictive handover

A Masri, T Veijalainen, H Martikainen… - 2021 IFIP/IEEE …, 2021 - ieeexplore.ieee.org
Good mobility performance is critical in cellular networks for ensuring that each user is
always connected to the best possible cell and that the handovers are executed timely to …