Examining the factors influencing college students' continuance intention to use short-form video APP

X Mou, F Xu, JT Du - Aslib Journal of Information Management, 2021 - emerald.com
Purpose The purpose of this study is to explore the effects of recommendation algorithm,
product reputation, new product novelty, privacy concern and privacy protection behavior on …

Long-term data traffic forecasting for network dimensioning in LTE with short time series

C Gijon, M Toril, S Luna-Ramírez, ML Marí-Altozano… - Electronics, 2021 - mdpi.com
Network dimensioning is a critical task in current mobile networks, as any failure in this
process leads to degraded user experience or unnecessary upgrades of network resources …

Mobility-aware load balancing for reliable self-organization networks: Multi-agent deep reinforcement learning

A Mohajer, M Bavaghar, H Farrokhi - Reliability Engineering & System …, 2020 - Elsevier
Abstract Self-Organizing Networks (SON) is a collection of functions for automatic
configuration, optimization, and healing of networks and mobility optimization is one of the …

A service-centric Q-learning algorithm for mobility robustness optimization in LTE

ML Marí-Altozano, SS Mwanje… - … on Network and …, 2021 - ieeexplore.ieee.org
Due to the diversity of mobile services and rising user expectations, mobile network
management has changed its focus from Quality of Service (QoS) to Quality of Experience …

Service-based network dimensioning for 5G networks assisted by real data

MU Khan, A García-Armada… - IEEE Access, 2020 - ieeexplore.ieee.org
The fifth-generation (5G) of cellular communications is expected to be deployed in the next
years to support a wide range of services with different demands of peak data rates, latency …

Traffic steering for 5G Multi-RAT deployments using deep reinforcement learning

MA Habib, H Zhou, PE Iturria-Rivera… - 2023 IEEE 20th …, 2023 - ieeexplore.ieee.org
In 5G non-standalone mode, traffic steering is a critical technique to take full advantage of
5G new radio while optimizing dual connectivity of 5G and LTE networks in multiple radio …

Roadrunner: O-ran-based cell selection in beyond 5g networks

E Coronado, S Siddiqui, R Riggio - NOMS 2022-2022 IEEE …, 2022 - ieeexplore.ieee.org
O-RAN is currently emerging as the way to build a virtualized 5G and beyond Radio Access
Network (RAN) that is based on open interfaces and off-the-shelf hardware. O-RAN …

On-device intelligence for 5g ran: Knowledge transfer and federated learning enabled ue-centric traffic steering

H Zhang, H Zhou, M Elsayed, M Bavand… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Traffic steering (TS) is a promising approach to support various service requirements and
enhance transmission reliability by distributing network traffic loads to appropriate base …

Reliability and mobility load balancing in next generation self-organized networks: using stochastic learning automata

A Mohajer, M Bavaghar, H Farrokhi - Wireless Personal Communications, 2020 - Springer
Self-organizing networking (SON) is an automation technology designed to make the
planning, configuration, management, optimization and healing of mobile radio access …

Data-driven estimation of throughput performance in sliced radio access networks via supervised learning

C Gijón, M Toril, S Luna-Ramírez - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In 5G systems, Network Slicing (NS) feature allows to deploy several logical networks
customized for specific verticals over a common physical infrastructure. To make the most of …