Near optimal fair delay based resource allocation for video traffic over wireless multimedia system

2008 ◽  
Vol 31 (10) ◽  
pp. 2360-2366 ◽  
Author(s):  
M.R.M. Rizk ◽  
M.I. Dessouky ◽  
Sami A. El-Dolil ◽  
Mohammed Abd-Elnaby
Keyword(s):  
Resource Allocation ◽  
Multimedia System ◽  
Wireless Multimedia ◽  
Video Traffic

Fairness Resource Allocation in Blind Wireless Multimedia Communications

2013 ◽  
Vol 15 (4) ◽  
pp. 946-956 ◽  
Author(s):  
Liang Zhou ◽  
Min Chen ◽  
Yi Qian ◽  
Hsiao-Hwa Chen
Keyword(s):  
Resource Allocation ◽  
Multimedia Communications ◽  
Wireless Multimedia

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

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Dongyul Lee ◽  
Chaewoo Lee
Keyword(s):  
Resource Allocation ◽  
Video Streaming ◽  
Adaptive Modulation ◽  
Scalable Video Coding ◽  
Video Quality ◽  
System Throughput ◽  
Adaptive Modulation And Coding ◽  
Scalable Video ◽  
Wireless Multimedia ◽  
Channel Conditions

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.

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