1 citations · 1 across the 1 of their papers we have counts for
6 papers
A benchmarking framework for PON-based fronthaul network design
Egemen Erbayat, Gustavo B. Figueiredo, Shih-Chun Lin +3
As mobile networks transition toward 5G and 6G RAN architectures, Passive Optical Networks (PONs) offer a critical solution for cost-effective fronthaul transport. However, the lac…
Digital Twin-Empowered Deep Reinforcement Learning for Intelligent VNF Migration in Edge-Core Networks
Faisal Ahmed, Suresh Subramaniam, Motoharu Matsuura +2
The growing demand for services and the rapid deployment of virtualized network functions (VNFs) pose significant challenges for achieving low-latency and energy-efficient orchestr…
Intelligent Edge Resource Provisioning for Scalable Digital Twins of Autonomous Vehicles
Mohammad Sajid Shahriar, Suresh Subramaniam, Motoharu Matsuura +2
The next generation networks offers significant potential to advance Intelligent Transportation Systems (ITS), particularly through the integration of Digital Twins (DTs). However,…
Federated Deep Reinforcement Learning-Driven O-RAN for Automatic Multirobot Reconfiguration
Faisal Ahmed, Myungjin Lee, Shao-Yu Lien +4
The rapid evolution of Industry 4.0 has led to the emergence of smart factories, where multirobot system autonomously operates to enhance productivity, reduce operational costs, an…
Digital Twin Enabled Data-Driven Approach for Traffic Efficiency and Software-Defined Vehicular Network Optimization
Mohammad Sajid Shahriar, Suresh Subramaniam, Motoharu Matsuura +2
In the realms of the internet of vehicles (IoV) and intelligent transportation systems (ITS), software defined vehicular networks (SDVN) and edge computing (EC) have emerged as pro…
FedAuxHMTL: Federated Auxiliary Hard-Parameter Sharing Multi-Task Learning for Network Edge Traffic Classification
Faisal Ahmed, Myungjin Lee, Suresh Subramaniam +3
Federated Learning (FL) has garnered significant interest recently due to its potential as an effective solution for tackling many challenges in diverse application scenarios, for…