Integrated resource scheduling for user experience enhancement: A heuristically accelerated DRL

L Wang, C Yang, X Wang, J Li… - … and Signal Processing …, 2019 - ieeexplore.ieee.org
The expected explosive traffic has forced the fifth-generation (5G) mobile communication
system to be ultra-dense networks (UDNs). Driven by diverse applications, flexible resource …

L'apport de l'apprentissage automatique pour résoudre les contraintes liées à la mobilité dans le cadre des communications D2D

C BOUCETTA, H MOUNGLA… - Gestion du niveau de …, 2020 - books.google.com
Les communications appareil-à-appareil ou Device-to-Device (D2D), telles qu'introduites
par le 3rd Generation Partnership Project (3GPP) dans la version 12, sont basées sur la …

[PDF][PDF] Machine learning based call drop healing in 5G

JR Mudaliyar - 2020 - lup.lub.lu.se
Self-Organizing Network (SON) functions include self-configuration, dynamic optimization
and self-healing of networks. In the era of 5G, mobile operators are increasingly exploring …

Machine Learning for Detecting Noisy Neighbours in 5G Networks

SS Srivastava, S Makh, PR Rodge - International Conference on Smart …, 2023 - Springer
The structure of 5G networks is predicted to become more dynamic as well as unpredictable
than that of present networks. Network Functions (NF) will cease to exist firmly tied through …

Deep neural mobile networking

C Zhang - arXiv preprint arXiv:2011.05267, 2020 - arxiv.org
The next generation of mobile networks is set to become increasingly complex, as these
struggle to accommodate tremendous data traffic demands generated by ever-more …

Lightweight testbed for machine learning evaluation in 5g networks

CE Hernández Chulde… - JITEL 2019-XIV …, 2019 - upcommons.upc.edu
The adoption of Software Define Networking, Network Function Virtualization and Machine
Learning will play a key role in the control and management of fifth-generation (5G) …

How Machine Learning Can Help Resolve Mobility Constraints in D2D Communications

C Boucetta, H Moungla, H Afifi - Service Level Management in …, 2021 - books.google.com
Device-to-Device (D2D) communications, as introduced by Release 12 of the 3rd
Generation Partnership Project (3GPP), are based on geographic proximity. A user's …

Novel UE RF condition estimation algorithm by integrating machine learning

Y Dong, Z Pan, ME Ernawan, J Liu… - Mobile and Wireless …, 2018 - Springer
By 2020, 5G era will be commercially available. The smart city construction will also make
great progress. Compared to current situation, more than thousand times of devices will …

[PDF][PDF] Enhancing Quality of Experience of 5G Users Exploiting Deep Q-Learning

PR Rusmita Halim Chaity, MA Razzaque… - researchgate.net
The Fifth Generation (5G) network aims to redesign the network service architecture so that it
can offer an excellent Quality-of-Experience (QoE) to the users. However, the exponentially …

[PDF][PDF] Machine Learning Meets Communication Networks: Current Trends and Future Challenges

MY GURTOV, J RIEKKI - researchgate.net
The growing network density and unprecedented increase in network traffic, caused by the
massively expanding number of connected devices and online services, require intelligent …