A survey of intelligent network slicing management for industrial IoT: Integrated approaches for smart transportation, smart energy, and smart factory

Y Wu, HN Dai, H Wang, Z **ong… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
Network slicing has been widely agreed as a promising technique to accommodate diverse
services for the Industrial Internet of Things (IIoT). Smart transportation, smart energy, and …

The road towards 6G: A comprehensive survey

W Jiang, B Han, MA Habibi… - IEEE Open Journal of …, 2021 - ieeexplore.ieee.org
As of today, the fifth generation (5G) mobile communication system has been rolled out in
many countries and the number of 5G subscribers already reaches a very large scale. It is …

[HTML][HTML] 5G network slicing using SDN and NFV: A survey of taxonomy, architectures and future challenges

AA Barakabitze, A Ahmad, R Mijumbi, A Hines - Computer Networks, 2020 - Elsevier
The increasing consumption of multimedia services and the demand of high-quality services
from customers has triggered a fundamental change in how we administer networks in terms …

Deep reinforcement learning for resource management on network slicing: A survey

JA Hurtado Sánchez, K Casilimas… - Sensors, 2022 - mdpi.com
Network Slicing and Deep Reinforcement Learning (DRL) are vital enablers for achieving
5G and 6G networks. A 5G/6G network can comprise various network slices from unique or …

Optimal VNF placement via deep reinforcement learning in SDN/NFV-enabled networks

J Pei, P Hong, M Pan, J Liu… - IEEE Journal on Selected …, 2019 - ieeexplore.ieee.org
The emerging paradigm-Software-Defined Networking (SDN) and Network Function
Virtualization (NFV)-makes it feasible and scalable to run Virtual Network Functions (VNFs) …

Recent advances of resource allocation in network function virtualization

S Yang, F Li, S Trajanovski… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Network Function Virtualization (NFV) has been emerging as an appealing solution that
transforms complex network functions from dedicated hardware implementations to software …

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 …

Survey on placement methods in the edge and beyond

B Sonkoly, J Czentye, M Szalay… - … Surveys & Tutorials, 2021 - ieeexplore.ieee.org
Edge computing is a (r) evolutionary extension of traditional cloud computing. It expands
central cloud infrastructure with execution environments close to the users in terms of …

Machine learning in network slicing—a survey

HP Phyu, D Naboulsi, R Stanica - IEEE Access, 2023 - ieeexplore.ieee.org
5G and beyond networks are expected to support a wide range of services, with highly
diverse requirements. Yet, the traditional “one-size-fits-all” network architecture lacks the …

Metaslicing: A novel resource allocation framework for metaverse

NH Chu, DT Hoang, DN Nguyen… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Creating and maintaining the Metaverse requires enormous resources that have never been
seen before, especially computing resources for intensive data processing to support the …