60 citations · 80 across the 6 of their papers we have counts for
7 papers
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…
An AI-Enabled Framework to Defend Ingenious MDT-based Attacks on the Emerging Zero Touch Cellular Networks
Aneeqa Ijaz, Waseem Raza, Hasan Farooq +2
Deep automation provided by self-organizing network (SON) features and their emerging variants such as zero touch automation solutions is a key enabler for increasingly dense wirel…
Towards Addressing Training Data Scarcity Challenge in Emerging Radio Access Networks: A Survey and Framework
Haneya Naeem Qureshi, Usama Masood, Marvin Manalastas +8
The future of cellular networks is contingent on artificial intelligence (AI) based automation, particularly for radio access network (RAN) operation, optimization, and troubleshoo…
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…
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…
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…
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…