An Innovative algorithm for improved quality multipath delivery of virtual reality content
Silva, FabioORCID: 0000-0001-6019-372X, Togou, MohammedORCID: 0000-0002-8374-910X and Muntean, Gabriel-MiroORCID: 0000-0002-9332-4770
(2020)
An Innovative algorithm for improved quality multipath delivery of virtual reality content.
In: 2020 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB), 27-29 Oct 2020, Paris, France (Online).
ISBN 978-1-7281-2150-5
This paper describes and evaluates an Innovative Algorithm for Improved Quality Multipath Delivery of Virtual Reality Content (QM4VR) that addresses the stringent communication requirements of Virtual Reality (VR) applications. Making use of the Multipath TCP (MPTCP) built-in multipath delivery features (subflows), QM4VR explores the subflows’ characteristics, evaluates their performance (e.g., delay, throughput or loss) and proposes a new management scheme to improve the Quality of Service (QOS) of the VR applications. glsqm4vr adopts a Machine Learning (ML)-based approach to evaluate the subflows’ performance which is implemented in two steps: 1) a linear regression scheme to forecast the subflow’s performance for a given feature; and 2) a linear classification scheme to arrange the results obtained in step 1. Based on these results QM4VR selects the most appropriate subflows for data delivery in order to achieve improvement of VR QOS levels.
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Funders:
European Union’s Horizon 2020 Research and Innovation Programme under grant agreement no 688503, Science Foundation Ireland grant 13/RC/2094, European Regional Development Fund through the Southern & Eastern Regional Operational Programme to Lero - the Irish Software Research Centre (www.lero.ie)
ID Code:
25962
Deposited On:
04 Jun 2021 10:19 by
Fabio Silva
. Last Modified 04 Jun 2021 10:19