activity
20182026
most citedDeep Learning Based Caching for Self-Driving Car in Multi-access Edge Computing

17 citations · 36 across the 9 of their papers we have counts for

collaborators

10 papers

cs.NI2026

Empowering Rural Areas with Multi-radio Microwave Backhaul Supported by Digital Twin for 5G IAB-based FWA

Anselme Ndikumana, Kim Khoa Nguyen, Adel Larabi +1

For digital inclusion, high-capacity Internet access should be provided to rural areas to support a range of services and applications. Due to the high operating costs of fiber-opt…

cs.NI2026

Large Language Model Assisted Intent-Based Satellite-Integrated Access and Backhaul FWA for Rural Areas

Anselme Ndikumana, Kim Khoa Nguyen, Adel Larabi +1

Rural areas exhibit low population density and highly variable connectivity needs shaped by both household usage and field operations such as planting, harvesting, and mining. Thes…

cs.NI2025

Energy-Efficient Multi-Radio Microwave and IAB-Based Fixed Wireless Access for Rural Areas

Anselme Ndikumana, Kim Khoa Nguyen, Adel Larabi +1

Deploying fiber optics as a last-mile solution in rural areas is not economically viable due to low population density. Nevertheless, providing high-speed internet access in these…

cs.NI2024★ 8 cited

Renewable Energy Powered and Open RAN-based Architecture for 5G Fixed Wireless Access Provisioning in Rural Areas

Anselme Ndikumana, Kim Khoa Nguyen, Mohamed Cheriet

Due to the high costs of optical fiber deployment in Low-Density and Rural Areas (LDRAs), 5G Fixed Wireless Access (5G FWA) recently emerged as an affordable solution. A widely ado…

cs.NI2024★ 7 cited

Digital Twin Backed Closed-Loops for Energy-Aware and Open RAN-based Fixed Wireless Access Serving Rural Areas

Anselme Ndikumana, Kim Khoa Nguyen, Mohamed Cheriet

Internet access in rural areas should be improved to support digital inclusion and 5G services. Due to the high deployment costs of fiber optics in these areas, Fixed Wireless Acce…

cs.NI2023

Federated Learning Assisted Deep Q-Learning for Joint Task Offloading and Fronthaul Segment Routing in Open RAN

Anselme Ndikumana, Kim Khoa Nguyen, Mohamed Cheriet

Offloading computation-intensive tasks to edge clouds has become an efficient way to support resource constraint edge devices. However, task offloading delay is an issue largely du…

cs.NI2023

Age of Processing-Based Data Offloading for Autonomous Vehicles in Multi-RATs Open RAN

Anselme Ndikumana, Kim Khoa Nguyen, Mohamed Cheriet

Today, vehicles use smart sensors to collect data from the road environment. This data is often processed onboard of the vehicles, using expensive hardware. Such onboard processing…

cs.NI2022★ 2 cited

Two-level Closed Loops for RAN Slice Resources Management Serving Flying and Ground-based Cars

Anselme Ndikumana, Kim Khoa Nguyen, Mohamed Cheriet

Flying and ground-based cars require various services such as autonomous driving, remote pilot, infotainment, and remote diagnosis. Each service requires specific Quality of Servic…

cs.NI2018★ 17 cited

Deep Learning Based Caching for Self-Driving Car in Multi-access Edge Computing

Anselme Ndikumana, Nguyen H. Tran, Choong Seon Hong

Once self-driving car becomes a reality and passengers are no longer worry about it, they will need to find new ways of entertainment. However, retrieving entertainment contents at…

cs.NI2018★ 2 cited

Joint Communication, Computation, Caching, and Control in Big Data Multi-access Edge Computing

Anselme Ndikumana, Nguyen H. Tran, Tai Manh Ho +4

The concept of multi-access edge computing (MEC) has been recently introduced to supplement cloud computing by deploying MEC servers to the network edge so as to reduce the network…