[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 …

Algorithmics and modeling aspects of network slicing in 5G and beyonds network: Survey

F Debbabi, R Jmal, LC Fourati, A Ksentini - IEEE Access, 2020‏ - ieeexplore.ieee.org
One of the key goals of future 5G networks is to incorporate many different services into a
single physical network, where each service has its logical network isolated from other …

5G support for industrial IoT applications—challenges, solutions, and research gaps

P Varga, J Peto, A Franko, D Balla, D Haja, F Janky… - Sensors, 2020‏ - mdpi.com
Industrial IoT has special communication requirements, including high reliability, low
latency, flexibility, and security. These are instinctively provided by the 5G mobile …

[PDF][PDF] A NOVEL ARCHITECTURE OF INTELLIGENT DECISION MODEL FOR EFFICIENT RESOURCE ALLOCATION IN 5G BROADBAND COMMUNICATION …

J Logeshwaran, T Kiruthiga, J Lloret - ICTACT Journal On Soft …, 2023‏ - ictactjournals.in
Abstract Intelligent Decision Model for efficient resource allocation in 5G broadband
communication networks is essential for ensuring the most efficient use of available …

Cloud-based xr services: A survey on relevant challenges and enabling technologies

T Theodoropoulos, A Makris, A Boudi… - Journal of Networking …, 2022‏ - iecscience.org
In recent years, the emergence of XR (eXtended Reality) applications, including
Holography, Augmented, Virtual and Mixed Reality, has resulted in the creation of rather …

Toward zero-touch management and orchestration of massive deployment of network slices in 6G

H Chergui, A Ksentini, L Blanco… - IEEE Wireless …, 2022‏ - ieeexplore.ieee.org
6G systems are expected to serve a massive number of extremely heterogeneous network
slices that cross multiple technological domains (ie, RAN, edge, cloud, and core), posing …

Network intelligence in 6G: Challenges and opportunities

A Banchs, M Fiore, A Garcia-Saavedra… - Proceedings of the 16th …, 2021‏ - dl.acm.org
The success of the upcoming 6G systems will largely depend on the quality of the Network
Intelligence (NI) that will fully automate network management. Artificial Intelligence (AI) …

Map** the VNFs and VLs of a RAN slice onto intelligent PoPs in beyond 5G mobile networks

MA Habibi, FZ Yousaf… - IEEE Open Journal of the …, 2022‏ - ieeexplore.ieee.org
The map** of a virtual network service onto a physical network infrastructure is a
challenging task due to the joint allocation of virtual resources across nodes and links, the …

On end-to-end intelligent automation of 6G networks

A Moubayed, A Shami, A Al-Dulaimi - Future Internet, 2022‏ - mdpi.com
The digital transformation of businesses and services is currently in full force, opening the
world to a new set of unique challenges and opportunities. In this context, 6G promises to be …

ATSC 3.0 broadcast 5G unicast heterogeneous network converged services starting release 16

M Simon, E Kofi, L Libin, M Aitken - IEEE Transactions on …, 2020‏ - ieeexplore.ieee.org
In this paper, the ATSC 3.0 broadcast Radio Access Technology (RAT) is aligned with 3GPP
5G NR RAT in the context of 5G convergence starting in Release 16. The 5G system …