Modeling and generation of AVC and SVC-TS mobile video traces for broadband access networks
Author(s) -
Abdel-Karim Al-Tamimi,
Raj Jain,
Chakchai So–In
Publication year - 2010
Publication title -
citeseer x (the pennsylvania state university)
Language(s) - English
Resource type - Conference proceedings
DOI - 10.1145/1730836.1730848
Subject(s) - computer science , wimax , computer network , mobile broadband , broadband , wireless broadband , scalable video coding , scheduling (production processes) , encoding (memory) , real time computing , trace (psycholinguistics) , wireless , mobile telephony , flexibility (engineering) , broadband networks , wireless network , mobile radio , telecommunications , artificial intelligence , linguistics , operations management , philosophy , statistics , mathematics , motion compensation , economics
We propose a simple model that is capable of capturing the statistical characteristics of mobile video traces encoded using MPEG4-Part2, AVC and SVC-TS encoding standards. The model can be adjusted to adapt to diverse workload configurations, which gives fellow researchers a great flexibility to evaluate different network traffic scenarios. We also discuss the model-based trace generator and the challenges of its implementation. Moreover, we present the simulation results validating the model using different encoding settings. In addition to that, we provide several insights about our video modeling approach. This will help in testing, simulating and validating mobile video transmission and resource scheduling strategies over broadband wireless networks such as WiMAX and LTE.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom