Energy-efficient resource allocation and scheduling for multicast of scalable video over wireless networks

In this paper, we investigate optimal resource allocation and scheduling for scalable video multicast over wireless networks. The wireless video multicasting is a best-effort service which has limited transmission energy and channel access time. To cater for multi-resolution videos to heterogeneous...

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Main Authors: Chuah, Seong-Ping, Chen, Zhenzhong, Tan, Yap Peng
Other Authors: School of Electrical and Electronic Engineering
Format: Article
Language:English
Published: 2013
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Online Access:https://hdl.handle.net/10356/96187
http://hdl.handle.net/10220/11465
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-961872020-03-07T14:02:38Z Energy-efficient resource allocation and scheduling for multicast of scalable video over wireless networks Chuah, Seong-Ping Chen, Zhenzhong Tan, Yap Peng School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering In this paper, we investigate optimal resource allocation and scheduling for scalable video multicast over wireless networks. The wireless video multicasting is a best-effort service which has limited transmission energy and channel access time. To cater for multi-resolution videos to heterogeneous clients and for channel adaptation, we adopt scalable video coding (SVC) with spatial, temporal and quality scalabilities. Our scalable video multicast system consists of a channel probing stage to gather the channel state information and a transmission stage to multicast videos to clients. We formulate the optimal resource allocation problem by maximizing the video quality of the clients subject to transmission energy and channel access constraints. We show that the problem is a joint optimization of the selection of modulation and coding scheme (MCS), and the transmission power allocation. By imposing a quality-of-service (QoS) constraint on the packet loss rate, we simplify the original problem to a binary knapsack problem which can be solved by a dynamic programming approach. Specifically, we first propose a multicast scheduling scheme based on the quality impact of each SVC layer. Guided by the content-aware multicast scheduling, we optimize the resource allocation for each SVC layer sequentially. Solution at each step takes into account of the channel condition, remaining resources, and client requirements. The proposed scheme is of linear complexity and leads to the maximized video quality for the admitted clients, while satisfying the energy budget and channel access constraints. Experiment results demonstrate that our scheme achieves notable video quality improvements for multicast clients, when compared to the state-of-the-art video multicast method. 2013-07-15T08:26:29Z 2019-12-06T19:26:43Z 2013-07-15T08:26:29Z 2019-12-06T19:26:43Z 2012 2012 Journal Article Chuah, S.-P., Chen, Z., & Tan, Y. P. (2012). Energy-efficient resource allocation and scheduling for multicast of scalable video over wireless networks. IEEE Transactions on Multimedia, 14(4), 1324-1336. 1520-9210 https://hdl.handle.net/10356/96187 http://hdl.handle.net/10220/11465 10.1109/TMM.2012.2193560 en IEEE transactions on multimedia © 2012 IEEE.
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic DRNTU::Engineering::Electrical and electronic engineering
spellingShingle DRNTU::Engineering::Electrical and electronic engineering
Chuah, Seong-Ping
Chen, Zhenzhong
Tan, Yap Peng
Energy-efficient resource allocation and scheduling for multicast of scalable video over wireless networks
description In this paper, we investigate optimal resource allocation and scheduling for scalable video multicast over wireless networks. The wireless video multicasting is a best-effort service which has limited transmission energy and channel access time. To cater for multi-resolution videos to heterogeneous clients and for channel adaptation, we adopt scalable video coding (SVC) with spatial, temporal and quality scalabilities. Our scalable video multicast system consists of a channel probing stage to gather the channel state information and a transmission stage to multicast videos to clients. We formulate the optimal resource allocation problem by maximizing the video quality of the clients subject to transmission energy and channel access constraints. We show that the problem is a joint optimization of the selection of modulation and coding scheme (MCS), and the transmission power allocation. By imposing a quality-of-service (QoS) constraint on the packet loss rate, we simplify the original problem to a binary knapsack problem which can be solved by a dynamic programming approach. Specifically, we first propose a multicast scheduling scheme based on the quality impact of each SVC layer. Guided by the content-aware multicast scheduling, we optimize the resource allocation for each SVC layer sequentially. Solution at each step takes into account of the channel condition, remaining resources, and client requirements. The proposed scheme is of linear complexity and leads to the maximized video quality for the admitted clients, while satisfying the energy budget and channel access constraints. Experiment results demonstrate that our scheme achieves notable video quality improvements for multicast clients, when compared to the state-of-the-art video multicast method.
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Chuah, Seong-Ping
Chen, Zhenzhong
Tan, Yap Peng
format Article
author Chuah, Seong-Ping
Chen, Zhenzhong
Tan, Yap Peng
author_sort Chuah, Seong-Ping
title Energy-efficient resource allocation and scheduling for multicast of scalable video over wireless networks
title_short Energy-efficient resource allocation and scheduling for multicast of scalable video over wireless networks
title_full Energy-efficient resource allocation and scheduling for multicast of scalable video over wireless networks
title_fullStr Energy-efficient resource allocation and scheduling for multicast of scalable video over wireless networks
title_full_unstemmed Energy-efficient resource allocation and scheduling for multicast of scalable video over wireless networks
title_sort energy-efficient resource allocation and scheduling for multicast of scalable video over wireless networks
publishDate 2013
url https://hdl.handle.net/10356/96187
http://hdl.handle.net/10220/11465
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