Applications of deep reinforcement learning in communications and networking: A survey
This paper presents a comprehensive literature review on applications of deep
reinforcement learning (DRL) in communications and networking. Modern networks, eg …
reinforcement learning (DRL) in communications and networking. Modern networks, eg …
[HTML][HTML] A comprehensive survey on machine learning for networking: evolution, applications and research opportunities
Abstract Machine Learning (ML) has been enjoying an unprecedented surge in applications
that solve problems and enable automation in diverse domains. Primarily, this is due to the …
that solve problems and enable automation in diverse domains. Primarily, this is due to the …
Quality of Experience (QoE)-aware placement of applications in Fog computing environments
R Mahmud, SN Srirama, K Ramamohanarao… - Journal of Parallel and …, 2019 - Elsevier
Fog computing aims at offering Cloud like services at the network edge for supporting
Internet of Things (IoT) applications with low latency response requirements. Hierarchical …
Internet of Things (IoT) applications with low latency response requirements. Hierarchical …
[HTML][HTML] 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 …
Cognitive internet of things: a new paradigm beyond connection
Current research on Internet of Things (IoT) mainly focuses on how to enable general
objects to see, hear, and smell the physical world for themselves, and make them connected …
objects to see, hear, and smell the physical world for themselves, and make them connected …
Age of information aware radio resource management in vehicular networks: A proactive deep reinforcement learning perspective
In this paper, we investigate the problem of age of information (AoI)-aware radio resource
management for expected long-term performance optimization in a Manhattan grid vehicle …
management for expected long-term performance optimization in a Manhattan grid vehicle …
Throughput prediction using machine learning in LTE and 5G networks
D Minovski, N Ögren, K Mitra… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The emergence of novel cellular network technologies, within 5G, are envisioned as key
enablers of a new set of use-cases, including industrial automation, intelligent …
enablers of a new set of use-cases, including industrial automation, intelligent …
QoE modeling for HTTP adaptive video streaming–a survey and open challenges
N Barman, MG Martini - Ieee Access, 2019 - ieeexplore.ieee.org
With the recent increased usage of video services, the focus has recently shifted from the
traditional quality of service-based video delivery to quality of experience (QoE)-based video …
traditional quality of service-based video delivery to quality of experience (QoE)-based video …
Measurement of quality of experience of video-on-demand services: A survey
Video-on-demand streaming services have gained popularity over the past few years. An
increase in the speed of the access networks has also led to a larger number of users …
increase in the speed of the access networks has also led to a larger number of users …
Quantification of YouTube QoE via crowdsourcing
This paper addresses the challenge of assessing and modeling Quality of Experience (QoE)
for online video services that are based on TCP-streaming. We present a dedicated QoE …
for online video services that are based on TCP-streaming. We present a dedicated QoE …