Network slicing and softwarization: A survey on principles, enabling technologies, and solutions

I Afolabi, T Taleb, K Samdanis… - … Surveys & Tutorials, 2018 - ieeexplore.ieee.org
Network slicing has been identified as the backbone of the rapidly evolving 5G technology.
However, as its consolidation and standardization progress, there are no literatures that …

AI-driven zero touch network and service management in 5G and beyond: Challenges and research directions

C Benzaid, T Taleb - Ieee Network, 2020 - ieeexplore.ieee.org
The foreseen complexity in operating and managing 5G and beyond networks has propelled
the trend toward closed-loop automation of network and service management operations. To …

Channel state information prediction for 5G wireless communications: A deep learning approach

C Luo, J Ji, Q Wang, X Chen, P Li - IEEE transactions on …, 2018 - ieeexplore.ieee.org
Channel state information (CSI) estimation is one of the most fundamental problems in
wireless communication systems. Various methods, so far, have been developed to conduct …

A comprehensive survey of enabling and emerging technologies for social distancing—Part I: Fundamentals and enabling technologies

CT Nguyen, YM Saputra, N Van Huynh… - Ieee …, 2020 - ieeexplore.ieee.org
Social distancing plays a pivotal role in preventing the spread of viral diseases illnesses
such as COVID-19. By minimizing the close physical contact among people, we can reduce …

DeepCog: Cognitive network management in sliced 5G networks with deep learning

D Bega, M Gramaglia, M Fiore… - … -IEEE conference on …, 2019 - ieeexplore.ieee.org
Network slicing is a new paradigm for future 5G networks where the network infrastructure is
divided into slices devoted to different services and customized to their needs. With this …

Intelligent resource scheduling for 5G radio access network slicing

M Yan, G Feng, J Zhou, Y Sun… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
It is widely acknowledged that network slicing can tackle the diverse use cases and
connectivity services of the forthcoming next-generation mobile networks (5G). Resource …

Resource allocation for network slicing in 5G telecommunication networks: A survey of principles and models

R Su, D Zhang, R Venkatesan, Z Gong, C Li… - IEEE …, 2019 - ieeexplore.ieee.org
With the rapid and sustained growth of network demands, 5G telecommunication networks
are expected to provide flexible, scalable, and resilient communication and network …

Spatio-temporal analysis and prediction of cellular traffic in metropolis

X Wang, Z Zhou, F Xiao, K Xing, Z Yang… - IEEE Transactions …, 2018 - ieeexplore.ieee.org
Understanding and predicting cellular traffic at large-scale and fine-granularity is beneficial
and valuable to mobile users, wireless carriers, and city authorities. Predicting cellular traffic …

A deep learning method based on an attention mechanism for wireless network traffic prediction

M Li, Y Wang, Z Wang, H Zheng - Ad Hoc Networks, 2020 - Elsevier
With the rapid development of wireless networks, the self-management and active
adjustment capabilities of base stations have become crucial. The accurate prediction of …

Integration of D2D, network slicing, and MEC in 5G cellular networks: Survey and challenges

L Nadeem, MA Azam, Y Amin, MA Al-Ghamdi… - IEEE …, 2021 - ieeexplore.ieee.org
With the tremendous demand for connectivity anywhere and anytime, existing network
architectures should be modified. To cope with the challenges that arise due to the …