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The Scientific World Journal
Volume 2014, Article ID 769241, 7 pages
Research Article

Integer-Linear-Programing Optimization in Scalable Video Multicast with Adaptive Modulation and Coding in Wireless Networks

School of Electrical and Computer Engineering, Woncheon Hall 432, Ajou University 206, World Cup-ro, Yeongtong-gu, Suwon-si, Gyeonggi-do 443-749, Republic of Korea

Received 6 March 2014; Accepted 7 July 2014; Published 3 September 2014

Academic Editor: Gerhard-Wilhelm Weber

Copyright © 2014 Dongyul Lee and Chaewoo Lee. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


The advancement in wideband wireless network supports real time services such as IPTV and live video streaming. However, because of the sharing nature of the wireless medium, efficient resource allocation has been studied to achieve a high level of acceptability and proliferation of wireless multimedia. Scalable video coding (SVC) with adaptive modulation and coding (AMC) provides an excellent solution for wireless video streaming. By assigning different modulation and coding schemes (MCSs) to video layers, SVC can provide good video quality to users in good channel conditions and also basic video quality to users in bad channel conditions. For optimal resource allocation, a key issue in applying SVC in the wireless multicast service is how to assign MCSs and the time resources to each SVC layer in the heterogeneous channel condition. We formulate this problem with integer linear programming (ILP) and provide numerical results to show the performance under 802.16 m environment. The result shows that our methodology enhances the overall system throughput compared to an existing algorithm.