IEEE C802.16m-07/145 Project IEEE 802.16 Broadband Wireless Access Working Group <http://ieee802.org/16> Title Trace Based Streaming Video Traffic Model for 802.16m Evaluation Methodology Document Date Submitted 2007-07-09 Source(s) Ricardo Fricks, Hua Xu Motorola, Inc. 1501 West Shure Drive, Arlington Heights, IL 60004, USA E-mail: hua.xu@motorola.com Jeongeun Julie Lee, Belal Hamzeh Intel Corp. 2111 NE 25th Ave, Hillsboro, Oregon 97124, USA E-mail: jeong.julie.lee@intel.com Bong Ho Kim Posdata Co, Ltd. 2901 Tasman Dr. Suite 219 Santa Clara, CA 95054, USA E-mail: bhkim@posdata-usa.com Ronny (Yong-Ho) Kim, Kiseon Ryu LG Electronics Inc. LG R&D Complex, 533 Hogye-1dong, Dongan-gu, Anyang, 431-749, Korea E-mail: ronnykim@lge.com Re: Response to a call for comments and contributions on draft 802.16m Evaluation Methodology Document Abstract In this document, a trace based streaming video traffic model is proposed. Purpose Propose a trace based streaming video traffic model in the IEEE 802.16m draft Evaluation Methodology Document. Notice Release Patent Policy This document does not represent the agreed views of the IEEE 802.16 Working Group or any of its subgroups. It represents only the views of the participants listed in the “Source(s)” field above. It is offered as a basis for discussion. It is not binding on the contributor(s), who reserve(s) the right to add, amend or withdraw material contained herein. The contributor grants a free, irrevocable license to the IEEE to incorporate material contained in this contribution, and any modifications thereof, in the creation of an IEEE Standards publication; to copyright in the IEEE’s name any IEEE Standards publication even though it may include portions of this contribution; and at the IEEE’s sole discretion to permit others to reproduce in whole or in part the resulting IEEE Standards publication. The contributor also acknowledges and accepts that this contribution may be made public by IEEE 802.16. The contributor is familiar with the IEEE-SA Patent Policy and Procedures: <http://standards.ieee.org/guides/bylaws/sect6-7.html#6> and <http://standards.ieee.org/guides/opman/sect6.html#6.3>. Further information is located at <http://standards.ieee.org/board/pat/pat-material.html> and <http://standards.ieee.org/board/pat>. 1 IEEE C802.16m-07/145 Trace Based Streaming Video Traffic Model Ricardo Fricks1, Hua Xu1, Jeongeun Julie Lee2, Belal Hamzeh2, Bong Ho Kim3, Ronny (Yong-Ho) Kim4, Kiseon Ryu4 1 Motorola, Inc. hua.xu@motorola.com Intel Corp. jeong.julie.lee@intel.com 3 Posdata Co, Ltd. bhkim@posdata-usa.com 4 LG Electronics Inc. ronnykim@lge.com 2 The following slides provide the technical detail in supporting the changes indicated below. D:\Profiles\qa1359\ My Documents\2007_Strat\802_16m\Channel_Model_Methodology\traffic_model\802_16_TraceBased_Streaming_Video_Model.ppt [Replace 10.4 with the following.] 10.4. Near Real Time Video Streaming There is no silver bullet on the synthetic traffic generation for streaming video. Multiple analytical algorithms are proposed but no single reference algorithm is ideal for the task. Generally, long rang dependency is recognized for the probability distributions of frame sizes. By using self-similar traffic generator, some of the characteristics of the streaming video traffic can be reproduced. However, the synthetic video traces generated by the analytical model are so much dissimilar to the reference traces that it is difficult to convince people that synthetic traces have captured the core characteristics of the streaming video traffic. Since the streaming video traces are easy to get and they are easy to use in the simulation environment, a trace based streaming video traffic model is recommended. In this model, a set of 12 MPEG4 traces are selected from the ASU video library. They are representative of the typical mix supported in the network. Among the 12 traces, 6 of them are from the major movie genre, such as drama, action, SciFi, and carton; 2 of them are from major sport events; 1 is from MTV, 2 are from talk show with and without commercial, and 1 is from TV sitcom. The key characters of these streaming video traces are listed in the table below. 2 IEEE C802.16m-07/145 MPEG4 Video Library* Name Hurst Mean Bit Quantizatio CBR/V Parameter Rate (Kbps) n (I-P-B) BR Movie 1 2 3 4 5 6 Citizen Kane Citizen Kane Die Hard Jurassic Park Star War IV Aladdin 0.84 30-30-30 0.72 0.61 0.78 0.86 52 128 70 78.5 65 91 30-30-30 24-24-24 24-24-24 30-30-30 VBR CBR VBR VBR VBR VBR 0.74 267.5 24-24-24 VBR 0.58 74.2 30-30-30 VBR 0.85 212.4 24-24-24 VBR Sports Football With 7 Commercials Baseball With 8 Commercials MTV 9 MTV Talk Show Tonight Show With 10 Commercials (Jay Leno) Tonight Show Without 11 Commercials (Jay Leno) 0.8 482 24-24-24 VBR 0.93 55 24-24-24 VBR 12 Friends vol4 0.77 53 24-24-24 VBR Sitcom * From ASU video library. URL: http://trace.eas.asu.edu/ 3