Exploring the role of 6G technology in enhancing quality of experience for m-health multimedia applications: A comprehensive survey
Mobile-health (m-health) is described as the application of medical sensors and mobile
computing to the healthcare provision. While 5G networks can support a variety of m-health …
computing to the healthcare provision. While 5G networks can support a variety of m-health …
QoE management of multimedia streaming services in future networks: A tutorial and survey
The highly demanding Over-The-Top (OTT) multimedia applications pose increased
challenges to Internet Service Providers (ISPs) for assuring a reasonable Quality of …
challenges to Internet Service Providers (ISPs) for assuring a reasonable Quality of …
Leveraging deep reinforcement learning for traffic engineering: A survey
After decades of unprecedented development, modern networks have evolved far beyond
expectations in terms of scale and complexity. In many cases, traditional traffic engineering …
expectations in terms of scale and complexity. In many cases, traditional traffic engineering …
DROM: Optimizing the routing in software-defined networks with deep reinforcement learning
C Yu, J Lan, Z Guo, Y Hu - IEEE Access, 2018 - ieeexplore.ieee.org
This paper proposes DROM, a deep reinforcement learning mechanism for Software-
Defined Networks (SDN) to achieve a universal and customizable routing optimization …
Defined Networks (SDN) to achieve a universal and customizable routing optimization …
Artificial intelligence enabled software‐defined networking: a comprehensive overview
M Latah, L Toker - IET networks, 2019 - Wiley Online Library
Software‐defined networking (SDN) represents a promising networking architecture that
combines central management and network programmability. SDN separates the control …
combines central management and network programmability. SDN separates the control …
TIDE: Time-relevant deep reinforcement learning for routing optimization
Routing optimization has been researched in network design for a long time, and plenty of
optimization schemes have been proposed from both academia and industry. However …
optimization schemes have been proposed from both academia and industry. However …
IHSF: An intelligent solution for improved performance of reliable and time-sensitive flows in hybrid SDN-based FC IoT systems
The integration of software-defined networking (SDN) into legacy networks causes both
operational and deployment issues. In this context, this article proposes a novel approach …
operational and deployment issues. In this context, this article proposes a novel approach …
Intelligent aerial video streaming: Achievements and challenges
Deploying aerial infrastructure to support traditional terrestrial wireless communications has
enhanced the maturity of 5G networks and beyond. This improvement has certainly …
enhanced the maturity of 5G networks and beyond. This improvement has certainly …
IPro: An approach for intelligent SDN monitoring
Traffic Monitoring assists in achieving network stability by observing and quantifying its
behavior. A proper traffic monitoring solution requires the accurate and timely collection of …
behavior. A proper traffic monitoring solution requires the accurate and timely collection of …
[PDF][PDF] 基于深度增强学习的软件定义网络路由优化机制
兰巨龙, 于倡和, 胡宇翔, 李子勇 - 电子与信息学报, 2019 - jeit.ac.cn
为优化软件定义网络(SDN) 的路由选路, 该文将深度增强学习原理引入到软件定义网络的选路
过程, 提出一种基于深度增强学习的路由优化选路机制, 用以削减网络运行时延 …
过程, 提出一种基于深度增强学习的路由优化选路机制, 用以削减网络运行时延 …