First Person Shooter Gaming Traffic Model for m Evaluation Methodology Document IEEE Presentation Submission Template (Rev. 9) Document Number: IEEE S802.16m-07/144 Date Submitted: Source: Hua Xu, Pranav Joshi, Eren Gonen, Y.C. Chen, Xiao Xu Motorola Inc West Shure Drive, Arlington Heights, IL 60004, USA Jeongeun Julie Lee, Belal Hamzeh Intel Corp NE 25th Ave, Hillsboro, Oregon 97124, USA Venue: Response to a call for comments and contributions on draft m Evaluation Methodology Document Base Contribution: IEEE C802.16m-07/144 Purpose: Propose to modify the gaming traffic model in the IEEE m draft Evaluation Methodology Document. Notice: This document does not represent the agreed views of the IEEE 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. Release: 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 Patent Policy: The contributor is familiar with the IEEE-SA Patent Policy and Procedures: and. Further information is located at and. Bong Ho Kim Posdata Co, Ltd Tasman Dr. Suite 219, Santa Clara, CA 95054, USA Ronny (Yong-Ho) Kim, Kiseon Ryu LG Electronics Inc. LG R&D Complex, 533 Hogye-1dong, Dongan-gu, Anyang, , Korea

Gaming Traffic Model Problems: –Games in the different genre, such as First Person Shooter (FPS), Role Play Game (RPG), etc., show dramatically different traffic behaviors. Thus, single traffic model can’t represent the different characteristics of various gaming genres. The current counter strike game modeled in 16m draft is a subtype of FPS genre. Proposed Solution: –Use different gaming traffic models for different gaming genres Each genre can be generalized into one model. Scope of this Proposal –The current proposal covers only FPS game genre. –The decision is to not include RPG traffic model in the Evaluation Methodology because it does not post additional requirements to the system performance.

Current Draft m Gaming Traffic Model Table 28 on page 98 line 10 *

Compare the Draft m Gaming Packet Size Distribution with Real-time Trace Data (DL) Largest extreme value distribution (LEVD) is a reasonable fit for gaming packet size distribution We observed that for the FPS game, the forward link packet size has significantly larger a and b values than the gaming model specified in the draft m Evaluation Methodology Document, where a = 120 bytes, b = 36. Proposed Parameter Values –a = 330 bytes, b = 82. DraftTrace a b3682 LEVD Distribution Parameters

Compare Gaming Packet Inter Arrival Time Distribution with Real-time Trace Data (DL) Largest extreme value distribution (LEVD) is a reasonable fit for gaming packet inter arrival time distribution We observed that for the FPS game, the forward link packet inter arrival time has slightly lower a and b values than the gaming model specified in the draft m Evaluation Methodology Document, where a = 55 ms, b = 6. Proposed Parameter Values –a = 50 ms, b = 4.5 DraftTrace a5548 b64.5 LEVD Distribution Parameters

Compare Gaming Packet Size Distribution with Real-time Trace Data (UL) Largest extreme value distribution (LEVD) is a reasonable fit for gaming packet size distribution We observed that for the FPS game, the reverse link packet size fits well in the draft m Evaluation Methodology Document, where a = 45 bytes, b = 5.7. Proposed Parameter Values –No change is necessary DraftTrace a45 b5.7 LEVD Distribution Parameters

Compare Gaming Packet Inter Arrival Time Distribution with Real-time Trace Data (UL) Largest extreme value distribution (LEVD) is a reasonable fit for gaming packet inter arrival time distribution We observed that for the FPS game, the reverse link packet inter arrival time also follows LEVD. Instead of using deterministic, 40ms, as in the draft m Evaluation Methodology Document, we propose m to use –a = 40 ms, b = 6 DraftTrace Deterministic40ms aN/A40ms bN/A6 LEVD Distribution Parameters

Proposed FPG Gaming Traffic Model Change Table 28 on page 98 line 10 to the following table