Towards addressing training data scarcity challenge in emerging radio access networks: A survey and framework

HN Qureshi, U Masood, M Manalastas… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
The future of cellular networks is contingent on artificial intelligence (AI) based automation,
particularly for radio access network (RAN) operation, optimization, and troubleshooting. To …

A survey of handover management in mobile HetNets: current challenges and future directions

AU Rehman, MB Roslee, T Jun Jiat - Applied Sciences, 2023 - mdpi.com
With the rapid growth of data traffic and mobile devices, it is imperative to provide reliable
and stable services during mobility. Heterogeneous Networks (HetNets) and dense …

Modeling User Transfer During Dynamic Carrier Shutdown in Green 5G Networks

A De Domenico, D López-Pérez, W Li… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
The energy consumption of the fifth generation (5G) of cellular technology is concerning for
the mobile industry and the entire society. To minimize the environmental footprint and …

Machine learning-based handover failure prediction model for handover success rate improvement in 5g

M Manalastas, MUB Farooq, SMA Zaidi… - 2023 IEEE 20th …, 2023 - ieeexplore.ieee.org
This paper presents and evaluates a simple but effective approach for substantially reducing
inter-frequency handover (HO) failure rate. We build a machine learning model to forecast …

5G-Enabled Healthcare in Mobile Scenarios: Challenges and Implementation Considerations

HN Qureshi, M Manalastas, MUB Farooq… - IEEE …, 2023 - ieeexplore.ieee.org
Wireless connectivity delay, disruption, or failure can significantly affect the performance of
wireless-enabled medical devices, which in turn causes potential risks to the patient …

Self-Optimization of Handover Control Parameters for 5G Wireless Networks and Beyond

AI Mbulwa, HT Yew, A Chekima, JA Dargham - IEEE Access, 2023 - ieeexplore.ieee.org
Fifth-generation (5G) networks consist of relatively smaller cells compared to legacy
networks. Therefore, a user will take a shorter time toward the cell edge. This exposes the …

MDT-based Intelligent Route Selection for 5G-Enabled Connected Ambulances

MUB Farooq, M Manalastas, H Qureshi… - … Conference on E …, 2022 - ieeexplore.ieee.org
The fifth generation of cellular network (5G) can facilitate in-ambulance patient monitoring,
diagnosis, and treatment by a remote specialist. However, 5G coverage and link quality can …

A Data Driven Framework for QoE-Aware Intelligent EN-DC Activation

SMA Zaidi, M Manalastas, MUB Farooq… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
In emerging 5G networks, User Equipment camps traditionally on 4G network. Later, if the
user requests a 5G service, it can simultaneously camp on 4G and 5G using EUTRAN New …

CSDnet: Causal Inference Aided Handover Parameter Adjusting Effect Estimation in Cellular Networks

X Hua, Q Li, Z Zhang, X Fan, L Zhu, R Yu… - ICC 2023-IEEE …, 2023 - ieeexplore.ieee.org
Due to the growth of densification and multi-band services in emerging cellular networks, the
next generation NodeB will confront with a plethora of handover-related Configuration and …

[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 …