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QoE Aware Resource Allocation for Video Communications over LTE Based Mobile Networks

Perera, Ryan, Fernando, Anil, Mallikarachchi, Thanuja, Kodikara Arachchi, Hemantha and Pourazad, Mahsa (2014) QoE Aware Resource Allocation for Video Communications over LTE Based Mobile Networks In: 10th International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness (QShine), 2014-08-18 - 2014-08-20, Rhodes.

QoE Aware Resource Allocation for Video Communications over LTE Based Mobile Networks.pdf

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As the limits of video compression and usable wireless radio resources are exhausted, providing increased protection to critical data is regarded as a way forward to increase the effective capacity for delivering video data. This paper explores the provisioning of selective protection in the physical layer to critical video data and evaluates its effectiveness when transmitted through a wireless multipath fading channel. In this paper, the transmission of HEVC encoded video through an LTE-A wireless channel is considered. HEVC encoded video data is ranked based on how often each area of the picture is referenced by subsequent frames within a GOP in the sequence. The critical video data is allotted to the most robust OFDM resource blocks (RBs), which are the radio resources in the time-frequency domain of the LTE-A physical layer, to provide superior protection. The RBs are ranked based on a prediction for their robustness against noise. Simulation results show that the proposed content aware resource allocation scheme helps to improve the objective video quality up to 37dB at lower channel SNR levels when compared against the reference system, which treats video data uniformly. Alternatively, with the proposed technique the transmitted signal power can be lowered by 30% without sacrificing video quality at the receiver.

Item Type: Conference or Workshop Item (Conference Paper)
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering > Centre for Vision Speech and Signal Processing
Authors :
Fernando, Anil
Mallikarachchi, Thanuja
Kodikara Arachchi,
Pourazad, Mahsa
Date : 19 August 2014
Funders : University of Surrey, CVSSP
DOI : 10.1109/QSHINE.2014.6928661
Additional Information : © 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Depositing User : Ryan Perera
Date Deposited : 28 Oct 2015 17:42
Last Modified : 06 Jul 2019 05:15

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