Quality-aware bandwidth allocation for scalable on-demand streaming in wireless networks

Jen Wen Ding, Der-Jiunn Deng, Tin Yu Wu, Hsiao Hwa Chen

Research output: Contribution to journalArticle

26 Citations (Scopus)

Abstract

In this paper, we propose a scalable transport scheme for delivering on-demand video streams over broadband wireless networks in next-generation network/IP multimedia subsystem (NGN/IMS) architecture. The proposed transport scheme makes use of fine-granular-scalability (FGS) encoded videos to accommodate high bandwidth variation of wireless networks. We formulate the bandwidth allocation to FGS-encoded streams as a resource allocation problem and develop a quality-aware bandwidth allocation scheme, called QABA. With QABA, the proposed transport scheme can dynamically adjust the bit rate allocated to different streams to maximize the overall perceptual quality when available network bandwidth varies with time. QABA is theoretically proven to be able to find the optimal bandwidth allocation for all on-demand streams. To validate the effectiveness of QABA, extensive trace-based simulations are performed.

Original languageEnglish
Article number5434402
Pages (from-to)366-376
Number of pages11
JournalIEEE Journal on Selected Areas in Communications
Volume28
Issue number3
DOIs
Publication statusPublished - 2010 Apr 1

Fingerprint

Frequency allocation
Wireless networks
Scalability
Bandwidth
Video on demand
Next generation networks
Resource allocation

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

Cite this

@article{99fe79ebfe7d43899272a301e7abf0d3,
title = "Quality-aware bandwidth allocation for scalable on-demand streaming in wireless networks",
abstract = "In this paper, we propose a scalable transport scheme for delivering on-demand video streams over broadband wireless networks in next-generation network/IP multimedia subsystem (NGN/IMS) architecture. The proposed transport scheme makes use of fine-granular-scalability (FGS) encoded videos to accommodate high bandwidth variation of wireless networks. We formulate the bandwidth allocation to FGS-encoded streams as a resource allocation problem and develop a quality-aware bandwidth allocation scheme, called QABA. With QABA, the proposed transport scheme can dynamically adjust the bit rate allocated to different streams to maximize the overall perceptual quality when available network bandwidth varies with time. QABA is theoretically proven to be able to find the optimal bandwidth allocation for all on-demand streams. To validate the effectiveness of QABA, extensive trace-based simulations are performed.",
author = "Ding, {Jen Wen} and Der-Jiunn Deng and Wu, {Tin Yu} and Chen, {Hsiao Hwa}",
year = "2010",
month = "4",
day = "1",
doi = "10.1109/JSAC.2010.100408",
language = "English",
volume = "28",
pages = "366--376",
journal = "IEEE Journal on Selected Areas in Communications",
issn = "0733-8716",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "3",

}

Quality-aware bandwidth allocation for scalable on-demand streaming in wireless networks. / Ding, Jen Wen; Deng, Der-Jiunn; Wu, Tin Yu; Chen, Hsiao Hwa.

In: IEEE Journal on Selected Areas in Communications, Vol. 28, No. 3, 5434402, 01.04.2010, p. 366-376.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Quality-aware bandwidth allocation for scalable on-demand streaming in wireless networks

AU - Ding, Jen Wen

AU - Deng, Der-Jiunn

AU - Wu, Tin Yu

AU - Chen, Hsiao Hwa

PY - 2010/4/1

Y1 - 2010/4/1

N2 - In this paper, we propose a scalable transport scheme for delivering on-demand video streams over broadband wireless networks in next-generation network/IP multimedia subsystem (NGN/IMS) architecture. The proposed transport scheme makes use of fine-granular-scalability (FGS) encoded videos to accommodate high bandwidth variation of wireless networks. We formulate the bandwidth allocation to FGS-encoded streams as a resource allocation problem and develop a quality-aware bandwidth allocation scheme, called QABA. With QABA, the proposed transport scheme can dynamically adjust the bit rate allocated to different streams to maximize the overall perceptual quality when available network bandwidth varies with time. QABA is theoretically proven to be able to find the optimal bandwidth allocation for all on-demand streams. To validate the effectiveness of QABA, extensive trace-based simulations are performed.

AB - In this paper, we propose a scalable transport scheme for delivering on-demand video streams over broadband wireless networks in next-generation network/IP multimedia subsystem (NGN/IMS) architecture. The proposed transport scheme makes use of fine-granular-scalability (FGS) encoded videos to accommodate high bandwidth variation of wireless networks. We formulate the bandwidth allocation to FGS-encoded streams as a resource allocation problem and develop a quality-aware bandwidth allocation scheme, called QABA. With QABA, the proposed transport scheme can dynamically adjust the bit rate allocated to different streams to maximize the overall perceptual quality when available network bandwidth varies with time. QABA is theoretically proven to be able to find the optimal bandwidth allocation for all on-demand streams. To validate the effectiveness of QABA, extensive trace-based simulations are performed.

UR - http://www.scopus.com/inward/record.url?scp=79955889389&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=79955889389&partnerID=8YFLogxK

U2 - 10.1109/JSAC.2010.100408

DO - 10.1109/JSAC.2010.100408

M3 - Article

VL - 28

SP - 366

EP - 376

JO - IEEE Journal on Selected Areas in Communications

JF - IEEE Journal on Selected Areas in Communications

SN - 0733-8716

IS - 3

M1 - 5434402

ER -