Intelligent-driven green resource allocation for industrial Internet of Things in 5G heterogeneous networks
P Yu, M Yang, A Xiong, Y Ding, W Li… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
The Industrial Internet of Things (IIoT) is one of the important applications under the 5G
massive machine type of communication (mMTC) scenario. To ensure the high reliability of …
massive machine type of communication (mMTC) scenario. To ensure the high reliability of …
Network resource allocation system for QoE-aware delivery of media services in 5G networks
A Martin, J Egaña, J Flórez, J Montalban… - IEEE Transactions …, 2018 - ieeexplore.ieee.org
The explosion in the variety and volume of video services makes bandwidth and latency
performance of networks more critical to the user experience. The media industry's …
performance of networks more critical to the user experience. The media industry's …
Reinforcement learning for self organization and power control of two-tier heterogeneous networks
R Amiri, MA Almasi, JG Andrews… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Self-organizing networks (SONs) can help to manage the severe interference in dense
heterogeneous networks (HetNets). Given their need to automatically configure power and …
heterogeneous networks (HetNets). Given their need to automatically configure power and …
A cognitive routing framework for reliable communication in IoT for industry 5.0
Industry 5.0 requires intelligent self-organi-zed, self-managed, and self-monitoring
applications with ability to analyze and predict the human as well as machine behaviors …
applications with ability to analyze and predict the human as well as machine behaviors …
A survey on energy optimization techniques in UAV-based cellular networks: from conventional to machine learning approaches
Wireless communication networks have been witnessing unprecedented demand due to the
increasing number of connected devices and emerging bandwidth-hungry applications …
increasing number of connected devices and emerging bandwidth-hungry applications …
FadeNet: Deep learning-based mm-wave large-scale channel fading prediction and its applications
Accurate prediction of the large-scale channel fading is fundamental to planning and
optimization in 5G millimeter-wave cellular networks. The current prediction methods, which …
optimization in 5G millimeter-wave cellular networks. The current prediction methods, which …
Machine learning for service migration: a survey
Future communication networks are envisioned to satisfy increasingly granular and dynamic
requirements to accommodate the application and user demands. Indeed, novel immersive …
requirements to accommodate the application and user demands. Indeed, novel immersive …
AI/ML Service Enablers and Model Maintenance for Beyond 5G Networks
Artificial Intelligence and Machine Learning (AI/ML) can transform mobile communications,
enable new applications and services, and pave the way beyond 5G. The adoption of AI/ML …
enable new applications and services, and pave the way beyond 5G. The adoption of AI/ML …
The role of artificial intelligence driven 5G networks in COVID-19 outbreak: Opportunities, challenges, and future outlook
There is no doubt that the world is currently experiencing a global pandemic that is
reshaping our daily lives as well as the way business activities are being conducted. With …
reshaping our daily lives as well as the way business activities are being conducted. With …
On topology optimization and routing in integrated access and backhaul networks: A genetic algorithm-based approach
In this paper, we study the problem of topology optimization and routing in integrated access
and backhaul (IAB) networks, as one of the promising techniques for evolving 5G networks …
and backhaul (IAB) networks, as one of the promising techniques for evolving 5G networks …