A near optimal QoE-driven power allocation scheme for SVC-based video transmissions over MIMO systems

Author

Xiang Chen ; Jenq-Neng Hwang ; Chiung-Ying Wang ; Chung-Nan Lee

Author_Institution

Dept. of Electr. Eng., Univ. of Washington, Seattle, WA, USA

fYear

2014

fDate

10-14 June 2014

Firstpage

1675

Lastpage

1680

Abstract

In this paper, we propose a near optimal power allocation scheme, which maximizes the quality of experience (QoE), for scalable video coding (SVC) based video transmissions over multi-input multi-output (MIMO) systems. This scheme tries to optimize the received video quality according to video frame-error-rate (FER), which may be caused by either transmission errors in physical (PHY) layer or video coding structures in application (APP) layer. Due to the complexity of the original optimization problem, we decompose it into several sub-problems, which can then be solved by classic convex optimization methods. Detailed algorithms with corresponding theoretical derivations are provided. Simulations with real video traces demonstrate the effectiveness of our proposed scheme.

Keywords

MIMO communication; convex programming; error statistics; quality of experience; video coding; FER; MIMO systems; QoE driven power allocation scheme; SVC based video transmissions; convex optimization methods; near optimal power allocation scheme; physical layer; quality of experience; scalable video coding; transmission errors; video frame error rate; video quality; MIMO; Optimization; Receivers; Resource management; Static VAr compensators; Streaming media; Wireless communication; MIMO; QoE; SVC; convex optimization; power allocation;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications (ICC), 2014 IEEE International Conference on

Conference_Location

Sydney, NSW

Type

conf

DOI

10.1109/ICC.2014.6883563

Filename

6883563