A survey on virtual network functions for media streaming: Solutions and future challenges

R Viola, Á Martín, M Zorrilla, J Montalbán… - ACM Computing …, 2023 - dl.acm.org
Media services must ensure an enhanced user's perceived quality during content playback
to attract and retain audiences, especially while the streams are distributed remotely via …

IEEE transactions on broadcasting special issue on: 5G media production, contribution, and distribution

D Gomez-Barquero, JJ Gimenez… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
The media landscape is undergoing unprecedented transformations. Content creators and
service providers had been for decades in control of how technology tailored to media …

An End-to-End Pipeline Perspective on Video Streaming in Best-Effort Networks: A Survey and Tutorial

L Peroni, S Gorinsky - arXiv preprint arXiv:2403.05192, 2024 - arxiv.org
Video streaming continues to captivate attention of users and service providers, dominate in
Internet traffic, and form a vibrant research field. Taking a pragmatic approach to reviewing …

[HTML][HTML] Hybrid learning strategies for multivariate time series forecasting of network quality metrics

M Di Mauro, G Galatro, F Postiglione, W Song… - Computer Networks, 2024 - Elsevier
This work addresses the challenge of forecasting temporal metrics that characterize cellular
traffic behavior. The ultimate goal is to provide network operators with a valuable tool for …

Online Multicast Traffic Engineering for Multi-View Videos With View Synthesis in SDN

SH Chiang, CH Wang, DN Yang… - … /ACM Transactions on …, 2024 - ieeexplore.ieee.org
Multi-view videos (MVV) have emerged to provide users with immersively interactive
experiences with 3D multimedia content. Compared with traditional 2D videos, MVV offers …

FTN-Based Non-Orthogonal Signal Detection Technique With Machine Learning in Quasi-Static Multipath Channel

MS Baek, ES Jung, YS Park… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Faster-than-Nyquist (FTN) signaling is a useful communication technique for high spectral
efficiency. However, since orthogonality between symbols is destroyed when a symbol rate …

Open-VERSO: a vision of 5G experimentation infrastructures, hurdles and challenges

A Martin, P Losada, C Fernández, M Zorrilla… - arXiv preprint arXiv …, 2023 - arxiv.org
5G led to a digital revolution for networks by leveraging virtualisation techniques to manage
software-based network functions through provided standard interfaces, which have …

RETRACTED: Resident consumption expenditure forecast based on embedded system and machine learning

Y Luo - 2021 - Elsevier
The relationship between income and expenditure is significant for understanding the shape
of the residents' economic dynamics. Consumer spending and household disposable …

Dig: A data-driven impact-based grouping method for video rebuffering optimization

S Meng, C Qiao, J Li, Y Wang, Z Guo - International Conference on …, 2022 - Springer
Rebuffering is known to be the dominant metric that affects the user experience of video
streaming applications. In this paper, we propose a data-driven impact-based grouping …

Internet Traffic Prediction Model

SL Frenkel, VN Zakharov - Scientific and Technical Information Processing, 2023 - Springer
Many modern machine learning tools are inefficient due to the pronounced nonlinearity of
traffic changes and nonstationarity. For this, the task of predicting the signs of increments …