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 Xiong… - … 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 …

Zero touch management: A survey of network automation solutions for 5G and 6G networks

E Coronado, R Behravesh… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
Mobile networks are facing an unprecedented demand for high-speed connectivity
originating from novel mobile applications and services and, in general, from the adoption …

Deep reinforcement learning for resource management in network slicing

R Li, Z Zhao, Q Sun, I Chih-Lin, C Yang, X Chen… - IEEE …, 2018 - ieeexplore.ieee.org
Network slicing is born as an emerging business to operators by allowing them to sell the
customized slices to various tenants at different prices. In order to provide better-performing …

The role of caching in future communication systems and networks

GS Paschos, G Iosifidis, M Tao… - IEEE Journal on …, 2018 - ieeexplore.ieee.org
This paper has the following ambitious goal: to convince the reader that content caching is
an exciting research topic for the future communication systems and networks. Caching has …

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 …

GAN-powered deep distributional reinforcement learning for resource management in network slicing

Y Hua, R Li, Z Zhao, X Chen… - IEEE Journal on Selected …, 2019 - ieeexplore.ieee.org
Network slicing is a key technology in 5G communications system. Its purpose is to
dynamically and efficiently allocate resources for diversified services with distinct …

[HTML][HTML] A survey of deep reinforcement learning application in 5G and beyond network slicing and virtualization

C Ssengonzi, OP Kogeda, TO Olwal - Array, 2022 - Elsevier
Abstract The 5th Generation (5G) and beyond networks are expected to offer huge
throughputs, connect large number of devices, support low latency and large numbers of …

Intelligent traffic steering in beyond 5G open RAN based on LSTM traffic prediction

F Kavehmadavani, VD Nguyen, TX Vu… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Open radio access network (ORAN) Alliance offers a disaggregated RAN functionality built
using open interface specifications between blocks. To efficiently support various competing …

VNF placement and resource allocation for the support of vertical services in 5G networks

S Agarwal, F Malandrino… - … /ACM transactions on …, 2019 - ieeexplore.ieee.org
One of the main goals of 5G networks is to support the technological and business needs of
various industries (the so-called verticals), which wish to offer to their customers a wide …

Data-driven dynamic resource scheduling for network slicing: A deep reinforcement learning approach

H Wang, Y Wu, G Min, J Xu, P Tang - Information Sciences, 2019 - Elsevier
Network slicing is designed to support a variety of emerging applications with diverse
performance and flexibility requirements, by dividing the physical network into multiple …