Device-Aware Visual Quality Adaptation for Wireless N-Screen Multicast Systems
Summary :
We seek a resource allocation algorithm through carrier allocation and modulation mode selection for improving the quality of service (QoS) that can adapt to various screen sizes and dynamic channel variations. In terms of visual quality, the expected visual entropy (EVE) is defined to quantify the visual information of being contained in each layer of the scalable video coding (SVC). Fairness optimization is conducted to maximize the EVE using an objective function for given constraints of radio resources. To conduct the fairness optimization, we propose a novel approximation algorithm for resource allocation for the maximal EVE. Simulations confirm that the QoS in terms of the EVE or peak signal to noise ratio (PSNR) is significantly improved by using the novel algorithm.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E96-B No.12 pp.3181-3189
- Publication Date
- 2013/12/01
- Publicized
- Online ISSN
- 1745-1345
- DOI
- 10.1587/transcom.E96.B.3181
- Type of Manuscript
- PAPER
- Category
- Terrestrial Wireless Communication/Broadcasting Technologies
Authors
Inwoong LEE
Yonsei University
Jincheol PARK
Yonsei University
Seonghyun KIM
Yonsei University
Taegeun OH
Yonsei University
Sanghoon LEE
Yonsei University
Keyword
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Inwoong LEE, Jincheol PARK, Seonghyun KIM, Taegeun OH, Sanghoon LEE, "Device-Aware Visual Quality Adaptation for Wireless N-Screen Multicast Systems" in IEICE TRANSACTIONS on Communications,
vol. E96-B, no. 12, pp. 3181-3189, December 2013, doi: 10.1587/transcom.E96.B.3181.
Abstract: We seek a resource allocation algorithm through carrier allocation and modulation mode selection for improving the quality of service (QoS) that can adapt to various screen sizes and dynamic channel variations. In terms of visual quality, the expected visual entropy (EVE) is defined to quantify the visual information of being contained in each layer of the scalable video coding (SVC). Fairness optimization is conducted to maximize the EVE using an objective function for given constraints of radio resources. To conduct the fairness optimization, we propose a novel approximation algorithm for resource allocation for the maximal EVE. Simulations confirm that the QoS in terms of the EVE or peak signal to noise ratio (PSNR) is significantly improved by using the novel algorithm.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E96.B.3181/_p
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@ARTICLE{e96-b_12_3181,
author={Inwoong LEE, Jincheol PARK, Seonghyun KIM, Taegeun OH, Sanghoon LEE, },
journal={IEICE TRANSACTIONS on Communications},
title={Device-Aware Visual Quality Adaptation for Wireless N-Screen Multicast Systems},
year={2013},
volume={E96-B},
number={12},
pages={3181-3189},
abstract={We seek a resource allocation algorithm through carrier allocation and modulation mode selection for improving the quality of service (QoS) that can adapt to various screen sizes and dynamic channel variations. In terms of visual quality, the expected visual entropy (EVE) is defined to quantify the visual information of being contained in each layer of the scalable video coding (SVC). Fairness optimization is conducted to maximize the EVE using an objective function for given constraints of radio resources. To conduct the fairness optimization, we propose a novel approximation algorithm for resource allocation for the maximal EVE. Simulations confirm that the QoS in terms of the EVE or peak signal to noise ratio (PSNR) is significantly improved by using the novel algorithm.},
keywords={},
doi={10.1587/transcom.E96.B.3181},
ISSN={1745-1345},
month={December},}
Copy
TY - JOUR
TI - Device-Aware Visual Quality Adaptation for Wireless N-Screen Multicast Systems
T2 - IEICE TRANSACTIONS on Communications
SP - 3181
EP - 3189
AU - Inwoong LEE
AU - Jincheol PARK
AU - Seonghyun KIM
AU - Taegeun OH
AU - Sanghoon LEE
PY - 2013
DO - 10.1587/transcom.E96.B.3181
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E96-B
IS - 12
JA - IEICE TRANSACTIONS on Communications
Y1 - December 2013
AB - We seek a resource allocation algorithm through carrier allocation and modulation mode selection for improving the quality of service (QoS) that can adapt to various screen sizes and dynamic channel variations. In terms of visual quality, the expected visual entropy (EVE) is defined to quantify the visual information of being contained in each layer of the scalable video coding (SVC). Fairness optimization is conducted to maximize the EVE using an objective function for given constraints of radio resources. To conduct the fairness optimization, we propose a novel approximation algorithm for resource allocation for the maximal EVE. Simulations confirm that the QoS in terms of the EVE or peak signal to noise ratio (PSNR) is significantly improved by using the novel algorithm.
ER -
English
