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20202024
most citedMobility Management in Emerging Ultra-Dense Cellular Networks: A Survey, Outlook, and Future Research Directions

60 citations · 60 across the 4 of their papers we have counts for

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5 papers · 1 filter

cs.NI2024

From Simulators to Digital Twins for Enabling Emerging Cellular Networks: A Tutorial and Survey

Marvin Manalastas, Muhammad Umar Bin Farooq, Syed Muhammad Asad Zaidi +3

Simulators are indispensable parts of the research and development necessary to advance countless industries, including cellular networks. With simulators, the evaluation, analysis…

cs.NI2022

Machine Learning Aided Holistic Handover Optimization for Emerging Networks

Muhammad Umar Bin Farooq, Marvin Manalastas, Syed Muhammad Asad Zaidi +2

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…

cs.NI2020★ 60 cited

Mobility Management in Emerging Ultra-Dense Cellular Networks: A Survey, Outlook, and Future Research Directions

Syed Muhammad Asad Zaidi, Marvin Manalastas, Hasan Farooq +1

The exponential rise in mobile traffic originating from mobile devices highlights the need for making mobility management in future networks even more efficient and seamless than e…

cs.NI2020

Data Driven Optimization of Inter-Frequency Mobility Parameters for Emerging Multi-band Networks

Muhammad Umar Bin Farooq, Marvin Manalastas, Waseem Raza +4

Densification and multi-band operation in 5G and beyond pose an unprecedented challenge for mobility management, particularly for inter-frequency handovers. The challenge is aggrav…

cs.NI2020

A Machine Learning based Framework for KPI Maximization in Emerging Networks using Mobility Parameters

Joel Shodamola, Usama Masood, Marvin Manalastas +1

Current LTE network is faced with a plethora of Configuration and Optimization Parameters (COPs), both hard and soft, that are adjusted manually to manage the network and provide b…