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QoE-based cross-layer design for video applications over LTE

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Abstract

Video applications such as video-on-demand and videoconferencing over wireless networks require system resources to be allocated dynamically and optimally in accordance with the time-varying environment and video contents. User-perceived quality is tending to be a crucial factor in evaluating the success of video applications. The aim of this paper is to propose a cross-layer design scheme for optimizing resource allocation of video applications over Long Term Evolution (LTE) networks based on Quality of Experience (QoE) evaluation. We propose a novel mapping model between Peak Signal-to-Noise Ratio (PSNR) and Mean Opinion Score (MOS) based on a hyperbolic tangent function, which can reflect the relation between objective system parameters and subjective perceived quality simply and precisely. The cross-layer architecture presented in this paper jointly optimizes the Application (APP) layer, the Media Access Control (MAC) layer and the Physical (PHY) layer of the wireless protocol stack. On the basis of this architecture, we present a QoE prediction function and utilize the Particle Swarm Optimization (PSO) method to solve the resource allocation problem. Simulation results show that the proposed scheme significantly outperforms the traditional scheduling scheme in terms of maximizing user-perceived quality as well as maintaining fairness among users.

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Acknowledgments

This work is supported by National Natural Science Foundation of China under Grant No. 61271179, Co-building Project of Beijing Municipal Education Commission “Cooperative Communications Platform for Multi-agent Multimedia Communications”, and Sci-tech Projects sponsored by Important National Science & Technology Specific Projects under Grant No. 2010ZX03003-001-01.

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Authors and Affiliations

  1. Laboratory of Network System Architecture and Convergence, Beijing University of Posts and Telecommunications, Beijing, 100876, People’s Republic of China

    Ying Ju, Zhaoming Lu, Dabing Ling, Xiangming Wen, Wei Zheng & Wenmin Ma

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  1. Ying Ju
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  2. Zhaoming Lu
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  4. Xiangming Wen
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Corresponding author

Correspondence to Ying Ju.

Abbreviations Appendix

Abbreviations Appendix

LTE

Long Term Evolution

QoE

Quality of Experience

PSNR

Peak Signal-to-Noise Ratio

MOS

Mean Opinion Score

APP

Application

MAC

Media Access Control

PHY

Physical

PSO

Particle Swarm Optimization

QoS

Quality of Service

3GPP

3rd Generation Partnership Project

max C/I

maximum Carrier-to-Interference

RR

Round Robin

PF

Proportional Fairness

OSI

Open Systems Interconnect

CLD

Cross-Layer Design

MOO

Multi-Objective Optimization

OFDM

Orthogonal Frequency Division Multiplexing

SDMA

Space Division Multiple Access

ITU

International Telecommunications Union

NGMN

Next Generation Mobile Network

UMTS

Universal Mobile Telecommunications System

HSDPA

High Speed Downlink Packet Access

eNB

evolved Node B

UE

User Equipment

AVC

Advanced Video Coding

SBR

Source Bit Rate

FR

Frame Rate

PLR

Packet Loss Rate

RB

Resource Block

MCS

Modulation and Coding Schemes

BER

Bit Error Rate

SNR

Signal-to-Noise Ratio

MSE

Mean Square Error

ANN

Artificial Neural Networks

MLP

Multi-Layer Perceptron

AMC

Adaptive Modulation and Coding

HARQ

Hybrid Automatic Repeat reQuest

QCIF

Quarter Common Intermediate Format

GOP

Group Of Pictures

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Ju, Y., Lu, Z., Ling, D. et al. QoE-based cross-layer design for video applications over LTE. Multimed Tools Appl 72, 1093–1113 (2014). https://doi.org/10.1007/s11042-013-1413-0

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  • DOI: https://doi.org/10.1007/s11042-013-1413-0

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