Lin Yingpei (Huawei Technologies) doc.: IEEE 802.11-14/0874r0 Submission July 2014 Slide 1 Unified Traffic Model on Enterprise Scenario Date: 2014-07-14.

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Presentation transcript:

Lin Yingpei (Huawei Technologies) doc.: IEEE /0874r0 Submission July 2014 Slide 1 Unified Traffic Model on Enterprise Scenario Date: Authors:

Lin Yingpei (Huawei Technologies) doc.: IEEE /0874r0 SubmissionSlide 2 Abstract This presentation provides a unified traffic model for scenario 2 - Enterprise scenario, integrating the multiple traffic types used in Enterprise scenario. The unified Enterprise traffic model is intended to be used for Systems Simulation on Enterprise scenario only. July 2014

Lin Yingpei (Huawei Technologies) doc.: IEEE /0874r0 SubmissionSlide 3 Motivation There are many traffic types in Enterprise scenario (scenario 2) [1][2]. It is complicated for the system simulation to implement each traffic model in actual simulation. A unified traffic model can simplify the traffic implementation and be convenient to provide common configuration of the traffic. July 2014

Lin Yingpei (Huawei Technologies) doc.: IEEE /0874r0 SubmissionSlide 4 Modeling Scope Video conference, Teleconference using VoIP, Training based internet streaming, and VDI are four typical services in Enterprise scenario. A unified Enterprise traffic model based on the configuration in the table below is provided in this proposal. July 2014 Traffic namePercent of STAs in Test Population (%) Buffered Video Streaming 5 (training) Video Conferencing10 (video conference) Virtual desktop infrastructure100 Voice (VoIP)15

Lin Yingpei (Huawei Technologies) doc.: IEEE /0874r0 SubmissionSlide 5 Modeling Scheme Assuming there are a certain number of STAs (e.g. 100), each STA generates traffic of identified service according to the traffic model schedule for the test interval (e.g. 50 seconds); 40 STAs active simultaneously at any point in time during the test interval. Acquire simulation sample data including size of each packet and packet generation time. Develop statistics on the data: plot the CDF curve of packet arrival interval, and CDF curve of packet size, for downlink and uplink. July 2014

Lin Yingpei (Huawei Technologies) doc.: IEEE /0874r0 SubmissionSlide 6 Model Abstraction Common parameters are abstracted according to the assumptions and observations:  Packet arrival interval  Model as an exponential distribution  Parameter is estimated by maximum likelihood estimation  Packet size  Model as a mixed distribution July 2014

Lin Yingpei (Huawei Technologies) doc.: IEEE /0874r0 SubmissionSlide 7 Parameter of Packet Arrival Interval July 2014 UplinkDownlink Mean (ms) Packet arrival interval is modeled as exponential distribution, whose pdf as Lambda is the parameter of the exponential distribution. Both packet arrival interval distributions, for uplink and downlink, are modeled as exponential distributions

Lin Yingpei (Huawei Technologies) doc.: IEEE /0874r0 SubmissionSlide 8 Distribution of Downlink Packet Size July 2014 Packet size (Byte)0~601140~1520others Percentage (%) Fitting Distribution Normal Exponential Mean Standard Deviation N/A

Lin Yingpei (Huawei Technologies) doc.: IEEE /0874r0 SubmissionSlide 9 Packet Size Model for Downlink July 2014 Probability Density Function (PDF) is modeled as:

Lin Yingpei (Huawei Technologies) doc.: IEEE /0874r0 SubmissionSlide 10 CDF of Downlink Packet Size July 2014

Lin Yingpei (Huawei Technologies) doc.: IEEE /0874r0 SubmissionSlide 11 Distribution of Uplink Packet Size July 2014 Packet size (Byte)0~70>70 Percentage (%) Fitting Distribution NormalExponential Mean Standard Deviation 8.60N/A

Lin Yingpei (Huawei Technologies) doc.: IEEE /0874r0 SubmissionSlide 12 Packet Size Model for Uplink July 2014 Probability Density Function (PDF) is modeled as:

Lin Yingpei (Huawei Technologies) doc.: IEEE /0874r0 SubmissionSlide 13 CDF of Uplink Packet Size July 2014

Lin Yingpei (Huawei Technologies) doc.: IEEE /0874r0 SubmissionSlide 14 Summary The packet arrival interval is modeled as exponential distribution for downlink and uplink. The packet size is modeled as mixed distribution for of downlink and uplink. July 2014 Slide 14

Lin Yingpei (Huawei Technologies) doc.: IEEE /0874r0 SubmissionSlide 15 References [1] ax-evaluation-methodology [2] ax-simulation-scenarios July 2014 Slide 15