Challenges in sensors technology for industry 4.0 for futuristic metrological applications

A Varshney, N Garg, KS Nagla, TS Nair, SK Jaiswal… - Mapan, 2021 - Springer
The current advances and innovations in sensor technologies attributed to Industry 4.0 serve
as the backbone for the inclusive growth of industry and ramping up the economy of any …

Green machine learning approach for QoS improvement in cellular communications

MM Saeed, RA Saeed, MA Azim, ES Ali… - 2022 IEEE 2nd …, 2022 - ieeexplore.ieee.org
Green cellular communications are becoming an important approach due to large-scale and
complex radio networks. Due to the dynamic cellular network behaviors related to …

Efficient and fair multi-resource allocation in dynamic fog radio access network slicing

T Mohammed, B Jedari… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
Future wireless networks should meet heterogeneous service requirements of diverse
applications, including interactive multimedia, augmented reality, and autonomous driving …

Distributed algorithms for multi-resource allocation

F Fossati, S Rovedakis, S Secci - IEEE Transactions on Parallel …, 2022 - ieeexplore.ieee.org
Novel network infrastructures require the distribution of computing and network resource
control to meet stringent requirements in terms of latency, reliability and bitrate. 5G systems …

Tackling IoT scalability with 5G NFV-enabled network slicing

PH Lee - 2021 - search.proquest.com
With emerging large volume and diverse heterogeneity of Internet of Things (IoT)
applications, the one-size-fits-all design of the current 4G networks is no longer adequate to …

Example of Degrading Network Slicing System in Two-Service Retrial Queueing System

F Moskaleva, E Lisovskaya, L Lapshenkova… - … , DCCN 2021, Moscow …, 2021 - Springer
Network slicing is defined as one of the main components of fifth-generation mobile
communications that can solve the problem of colossal growth in data volume traffic in …

Green machine learning protocols for cellular communication

MMA Saeed, ESA Ahmed, RA Saeed… - … Learning Protocols for …, 2023 - taylorfrancis.com
Cellular networks with extensive topologies and intricate radio configurations are ideally
suited for machine learning (ML), which is quickly becoming a popular method of adding …

QoS-Aware Inter-Domain Connectivity: Control Plane Design and Operational Considerations

S Lange, JF Pajo, T Zinner… - NOMS 2022-2022 …, 2022 - ieeexplore.ieee.org
Scenarios related to 5G and beyond give rise to a high degree of heterogeneity in terms of
applications, services, and user expectations as well as more demanding QoS requirements …

Heterogeneous Resource Management for Services based on Artificial Intelligence

T Mohammed - 2023 - aaltodoc.aalto.fi
Machine-to-machine communication (M2M) is becoming the most significant share of
wireless traffic, largely due to emerging applications in the Internet of Things (IoT) including …

Opportunities and Challenges of Digital Global Health

JE Ishii-Rousseau, S Seino - Digital Health: From Assumptions to …, 2023 - Springer
As interest for digital transformations in healthcare continues to grow, global health
approaches have been identified as aligned with the implementation of digital health …