Open AccessVideo loss prediction model in wireless networks
Author(s) -
João Victor Costa Carmona,
Edemir Matos,
Bruno Castro,
Fabrício J. B. Barros,
Miércio Cardoso de Alcântara Neto,
Evaldo Pelaes
Publication year - 2019
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0212407
Subject(s) - computer science , packet loss , wireless network , mean squared error , wireless , codec , peak signal to noise ratio , logarithm , standard deviation , video quality , network packet , real time computing , algorithm , computer engineering , statistics , telecommunications , computer network , mathematics , mathematical analysis , metric (unit) , operations management , economics
This work discusses video communications over wireless networks (IEEE 802.11ac standard). The videos are in three different resolutions: 720p, 1080p, and 2160p. It is essential to study the performance of these media in access technologies to enhance the current coding and communications techniques. This study sets out a video quality prediction model that includes the different resolutions that are based on wireless network terms and conditions, an approach that has not previously been adopted in the literature. The model involves obtaining Service and Experience Quality Metrics, such as PSNR (Peak Signal-to-Noise Ratio) and packet loss. This article outlines a methodology and mathematical model for video quality loss in the wireless network from simulated data and its accuracy is ensured through the use of performance metrics (RMSE and Standard Deviation). The methodology is based on two mathematical functions, (logarithmic and exponential), and their parameters are defined by linear regression. The model obtained RMSE values and standard deviation of 2.32 dB and 2.2 dB for the predicted values, respectively. The results should lead to a CODEC (Coder-Decoder) improvement and contribute to a better wireless networks design.