scholarly journals Optimal and Fair Resource Allocation for Multiuser Wireless Multimedia Transmissions

2009 ◽  
Vol 2009 (1) ◽  
Author(s):  
Zhangyu Guan ◽  
Dongfeng Yuan ◽  
Haixia Zhang
Keyword(s):  
Resource Allocation ◽  
Wireless Multimedia ◽  
Multimedia Transmissions

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 Evaluation of Video Quality in Wireless Multimedia Sensor Networks

2016 ◽  
Vol 6 (1) ◽  
pp. 223
Author(s):  
Mustafa Shakir ◽  
Obaid Ur Rehman ◽  
Zeeshan Abbas ◽  
Abdullah Masood ◽  
Wajeeha Shahid
Keyword(s):  
Sensor Networks ◽  
Signal To Noise Ratio ◽  
Video Quality ◽  
Discrete Event ◽  
Wireless Multimedia ◽  
Multimedia Sensor Networks ◽  
Opinion Score ◽  
Different Types ◽  
Multimedia Transmissions

<p class="Default">Simulating wireless sensor networks; there implementation and evaluation, require the use of a discrete event simulator. Omnet++ is quite a powerful simulator which supports concise and easy modeling of wired as well as wireless sensors environment. Scenarios involving multimedia transmissions with characteristics of video quality control and evaluation must be computed on the basis of Quality of Experience which relies on user’s perception to maintain the video quality. For the multimedia growth and awareness of future WMSNs, it is quite necessary that the performance should be tested for different types of radio models. So varying the radio parameters may allow for the optimization and improvement of the video quality. In this paper we have provided a test bench for the easy evaluation and optimization of the performance of WMSNs using different radio models. The performance is evaluated based on the QoE metrics; i.e. PSNR(Peak Signal-to-Noise ratio) and MoS(Mean Opinion Score), which depend on user’s perception to maintain the video quality.</p>

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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