NDLI: Scalable video multicast with joint layer resource allocation in broadband wireless networks

Content Provider	IEEE Xplore Digital Library
Author	Peilong Li Honghai Zhang Baohua Zhao Rangarajan, S.
Copyright Year	2010
Description	Author affiliation: NEC Laboratories America, USA (Honghai Zhang) \|\| Dept. of Computer Science and Technology, University of Science and Technology of China, China (Peilong Li; Baohua Zhao; Rangarajan, S.)
Abstract	Scalable video coding (SVC), together with adaptive modulation and coding (AMC), can improve wireless multicast streaming video by jointly performing radio resource allocation and modulation and coding scheme (MCS) selection. However, the existing schemes in the literature allocate radio resources for different video layers separately, which leads to a waste of radio resources. In this work, we introduce the notion of joint layer resource allocation which allows to jointly allocate resources to multiple video layers that are assigned the same MCS. We formulate this problem and prove it to be NP-hard. Then we develop a pseudo-polynomial algorithm that finds the optimal total system utility. Our algorithm assumes a very generic utility function and flexible video layer rates. To reduce the complexity of the algorithm, we also propose Fully Polynomial Time Approximation Schemes (FPTAS) for the same problem. Simulation results show that our optimal algorithm offers significant improvement on system utility over a previous optimal algorithm and a greedy algorithm both of which do not support joint layer resource allocation. The proposed approximation algorithm provides controllable tradeoff between performance and computational complexity and, with appropriately chosen parameters, it outperforms the greedy algorithm with 40% less running time.
Starting Page	295
Ending Page	304
File Size	1173419
Page Count	10
File Format	PDF
ISBN	9781424486441
ISSN	10921648
e-ISBN	9781424486458
DOI	10.1109/ICNP.2010.5762778
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-10-05
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Streaming media Resource management Heuristic algorithms Joints Approximation algorithms Encoding Modulation
Content Type	Text
Resource Type	Article

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