A supervised learning based QoS assurance architecture for 5G networks

G Zhu, J Zan, Y Yang, X Qi - IEEE Access, 2019 - ieeexplore.ieee.org
The 5G networks are broadly characterized by three unique features: ubiquitous
connectivity, extremely low latency, and extraordinary high-speed data transfer. The …

Cost-efficient service function chain orchestration for low-latency applications in NFV networks

G Sun, G Zhu, D Liao, H Yu, X Du… - IEEE Systems …, 2018 - ieeexplore.ieee.org
With the popularization and development of cloud computing, network function virtualization
and service function chain (SFC) provisioning have attracted increasing attention from …

Adaptive finite blocklength for ultra-low latency in wireless communications

W Cheng, Y Xiao, S Zhang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
With the very stringent demand for real-time transmission of wireless communication
services, the requirement of sub-millisecond ultra-low end-to-end delay has been initially …

Network intelligent control and traffic optimization based on SDN and artificial intelligence

A Guo, C Yuan - Electronics, 2021 - mdpi.com
For telecom operators, it is of great significance to employ artificial intelligence (AI) and big
data technology in a software-defined network (SDN) in order to achieve intelligent network …

Machine learning aided load balance routing scheme considering queue utilization

H Yao, X Yuan, P Zhang, J Wang… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
Due to the rapid development of network techniques, packet-switched systems experience
high-speed growth of traffic, which imposes a heavy and unbalanced burden on the routers …

[HTML][HTML] 6G networks for artificial intelligence-enabled smart cities applications: a scoping review

PR Singh, VK Singh, R Yadav, SN Chaurasia - Telematics and Informatics …, 2023 - Elsevier
Due to the increasing need for time with respect to industrial growth and the speeding up of
human day-to-day work, network evolution is always the center of focus for research …

Deep reinforcement learning-based resource allocation for content distribution in IoT-edge-cloud computing environments

T Cui, R Yang, C Fang, S Yu - Symmetry, 2023 - mdpi.com
With the emergence of intelligent terminals, the Internet of Vehicles (IoV) has been drawing
great attention by taking advantage of mobile communication technologies. However, high …

Virtual network function selection and chaining based on deep learning in SDN and NFV-enabled networks

J Pei, P Hong, D Li - 2018 IEEE International Conference on …, 2018 - ieeexplore.ieee.org
Software-Defined Network (SDN) and Network Function Virtualization (NFV) make Service
Function Chain (SFC) become a popular service paradigm. For an SFC Request (SFCR) …

Decoupling or learning: Joint power splitting and allocation in MC-NOMA with SWIPT

J Tang, J Luo, J Ou, X Zhang, N Zhao… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Non-orthogonal multiple access (NOMA) is one of the most significant technologies to meet
the demand of high spectral efficiency (SE) in the fifth generation (5G) cellular networks. The …

CNN-based intelligent safety surveillance in green IoT applications

W Cao, J Zhang, C Cai, Q Chen, Y Zhao… - China …, 2021 - ieeexplore.ieee.org
Safety surveillance is considered one of the most important factors in many constructing
industries for green internet of things (IoT) applications. However, traditional safety …