Title :
Modeling and resource allocation for mobile video over WiMAX broadband wireless networks
Author :
Al Tamimi, Abdel Karim ; So-In, Chakchai ; Jain, Raj
Author_Institution :
Dept. of Comput. Sci. & Eng., Washington Univ. in St. Louis, St. Louis, MO, USA
fDate :
4/1/2010 12:00:00 AM
Abstract :
The key to proper resource allocation for mobile video on wireless networks is to have a good model for the resource demands. In this paper, we present the results of analysis of a number of mobile video streams and show that a simple seasonal ARIMA model (SAM) can provide a very good representation for both MPEG4-Part2 and MPEG4-Part10 videos, the formats that are commonly used for mobile videos. The model has been implemented to provide both video frame and RTP packet generators. The model can be used to represent different movies and can be easily adjusted to produce different workloads for simulation studies. We use the SAM generator to compare the performance of three different scheduling methods for video over WiMAX networks: Earliest Deadline First (EDF), Deficit Round Robin (DRR) and a combination of the two. The results show that under overload, EDF introduces unfairness. DRR with deadline is fair and gives the best performance.
Keywords :
WiMax; autoregressive moving average processes; broadband networks; resource allocation; scheduling; video communication; video streaming; ARIMA model; MPEG4-Part10 videos; MPEG4-Part2 video; RTP packet generators; SAM generator; WiMAX broadband wireless networks; deficit round robin; mobile video streams; resource allocation; scheduling methods; Encoding; MPEG 4 Standard; Resource management; Round robin; Streaming media; Telecommunication traffic; Traffic control; Video compression; WiMAX; Wireless networks; Deficit Round Robin; Earliest Deadline First; IEEE 802.16e; Mobile WiMAX; QoS; Resource Allocation; Scheduling; Seasonal ARIMA; Traffic Generator; Video Modeling;
Journal_Title :
Selected Areas in Communications, IEEE Journal on
DOI :
10.1109/JSAC.2010.100407
