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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Vydáno v:IEEE transactions on multimedia Ročník 14; číslo 4; s. 1324 - 1336
Hlavní autoři: Chuah, Seong-Ping, Chen, Zhenzhong, Tan, Yap-Peng
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York, NY IEEE 01.08.2012
Institute of Electrical and Electronics Engineers
Témata:
Algorithmics. Computability. Computer arithmetics
Applied sciences
Artificial intelligence
Coding, codes
Computer science; control theory; systems
Computer systems and distributed systems. User interface
Energy consumption
Energy efficient transmission
Exact sciences and technology
Information, signal and communications theory
Mobile communication
modulation and coding scheme
Pattern recognition. Digital image processing. Computational geometry
resource allocation
Resource management
Scalability
scalable video coding
scheduling
Signal and communications theory
Software
Static VAr compensators
Streaming media
Telecommunications and information theory
Theoretical computing
Wireless communication
wireless multicast
Video coding
Access time
Scalability
Resource allocation
Video signal
Loss rate
scalable video coding
Multiresolution analysis
Optimization
Multicast
Image coding
Optimal allocation
Channel estimation
Linear complexity
Dynamic programming
modulation and coding scheme
wireless multicast
Transmission channel
Scheduling
Context aware
Distributed system
Energy savings
Knapsack problem
Image quality
Energy efficient transmission
Wireless network
Image transmission
Transmission loss
Energy management
Service quality
ISSN:1520-9210, 1941-0077
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Popis
Shrnutí: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.
ISSN:1520-9210
1941-0077
DOI:10.1109/TMM.2012.2193560