Name
Title | ||
|---|---|---|
QoE-aware mobile association and resource allocation over wireless heterogeneous networks |
Abstract | ||
|---|---|---|
As video content delivery over wireless networks is expected to grow tremendously in upcoming years, how to support energy and bandwidth consuming video applications with high Quality of Experience (QoE) becomes a challenging issue in the future wireless networks. Clearly, there is an urgency for a new disruptive paradigm to bridge the gap between the increasing capacity plus energy demands and the scarce wireless network resources. In this paper, we propose a spectrum and energy efficient mobile association and resource allocation scheme in wireless heterogeneous networks based on two new performance metrics: video content aware or QoE-aware Energy Efficiency (QEE) and video content aware or QoE-aware Spectral Efficiency (QSE). QEE and QSE evaluate the power consumption and bandwidth consumption from video quality's perspective. First we conduct a fundamental study between QEE and QSE in a point-to-point wireless environment. Then we propose a mobile associations and resource allocation scheme in a heterogeneous wireless network that can optimize QEE and QSE. The system level problem is formulated as a mixed-integer nonlinear optimization problem. Nonlinear fractional programming approach and dual decomposition method are applied to search the optimal solutions in a computationally efficient way. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/GLOCOM.2014.7037549 | GLOBECOM |
Keywords | Field | DocType |
bandwidth consuming video applications,video signal processing,qoe-aware spectral efficiency,qee optimization,energy consuming video applications,nonlinear programming,energy demands,integer programming,resource allocation,system level problem,disruptive paradigm,qoe-aware mobile association scheme,video content delivery,radio networks,dual decomposition method,wireless heterogeneous networks,quality of experience,nonlinear fractional programming approach,resource allocation scheme,mixed-integer nonlinear optimization problem,mobile computing,power consumption evaluation,scarce wireless network resources,performance metrics,quality-of-experience,qoe-aware energy efficiency,qse optimization,bandwidth consumption evaluation,wireless communication,psnr,resource management,mobile communication,bandwidth | Mobile computing,Wireless network,Wireless,Heterogeneous wireless network,Efficient energy use,Computer science,Computer network,Real-time computing,Resource allocation,Heterogeneous network,Video quality | Conference |
ISSN | Citations | PageRank |
2334-0983 | 3 | 0.38 |
References | Authors | |
12 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yiran Xu | 1 | 75 | 6.09 |
| Rose Qingyang Hu | 2 | 1702 | 135.35 |
| Lili Wei | 3 | 117 | 5.50 |
| Geng Wu | 4 | 966 | 67.04 |