Management Traffic profile and % of unassociated users (Reza, Cisco) Application activity intervals (Huai-Rong, Samsung) Indicated that legacy STAs can be present (Various) Indicated that legacy APs can be present in scenario 1(Liwen, Marvell) Indication of antenna height (Wookbong, LG) RTS Thresholds (Liwen, Marvell) Primary channel location (Liwen (Marvell), Klaus (Nokia)) Clarified that all BSSs are either all at 2.4GHz, or all at 5GHz (Liwen, Marvell) Some changes on traffic model for Residential Scenario (Klaus, Nokia) Initial indications of channel model (various, Joseph, (InterDigital), Wookbong (LG); needs more discussion) Clarification on non-HEW definition. Other comments from Jason, David, Wookbong, Thomas R6 Modified the number of APs in scenario 2 (Ericsson)) Add description of the interference scenario for Scenario 2 (David (Huawei)) Added considerations on feedback from WFA Notes on this version This document consolidates contributions on scenarios details, from various authors. This document reflects the comments/submissions received, but it is not a final version by any means and is subject to changes based on further discussion and feedback. This document includes: scenarios classification on the harmonization between proposals in doc #1083r0 and 1000r2 that happened at the September meeting (also supported by the straw poll) Descriptions for scenarios 1 (from doc. #1081r0), scenario 2 (from doc. scenarios 3 (from doc. #1248 and likely compatible with #722 and #1079), scenario 4 (from doc. #1248), scenario 4a (Ron), concepts from doc #1176; I believe the presence of ‘interfering scenarios’ in each scenario also satisfies the suggestions from #1114r1. traffic models specifications from 11-13/1305, 11-13/1334/5; several suggested changes received via email which do not have a doc # (see revisions table comments) Major TBDs Traffic models initial contributions received regarding video and management traffic models (DCN#1335, Reza), defining a traffic profile per scenario (#1305), applications
~100s of STAs/AP, P2P 3 Indoor Small BSS Hotspot C - Dense small BSSs, uniform e.g. ~10-20m inter AP distance ~100s of STAs/AP, P2P pairs Mobile 4 Outdoor Large BSS Hotspot D - Large BSSs, uniform e.g. 100-200m AP distance ~100s of STAs/AP, P2P pairs Managed Outdoor Flat Mobile 4a Outdoor BSS Hotspot + Residential D+A Managed + Unmanaged Hierarchical Mobile + Home Considerations on the feedback from WFA Document 11-13/1443 includes feedback from WFA regarding prioritization of usage models. Document 11-13/1456r1 shows a mapping between the prioritized usage models and the simulation scenarios in this document (as of r5). The summary is copied here: Mapping 1b Airport / station Scenario 3 1e E-education Scenario 2 3a Dense apartment building Scenario 1 4b Pico-cell street deployment Scenario 4 2b Public transportation ?? No good match with existing scenarios Is usage model 2b relevant for HEW, in the opinion of the SG? Usage model 2b is essentially ‘single cell’, which is a departure from ‘Dense scenarios’ scope of HEW High density of STAs but likely just 1 or few APs Goal of simulation scenarios is to capture key issues, and for proof of solutions If considered not relevant: our current simulation scenarios are enough
Downlink D1 AP/STA1 Buffered streaming 50Mbps VI … VI DN AP/STA_N Buffered video streaming 50Mbps VI Uplink U1 STA1/AP 1.5Mpbs UN STA_N/AP 1.5Mpbs P2P P1 STA_{N1+1}/STA_{N1+2} Buffered video streaming 10Mbps VI STA_{N-1}/STA_{N} Buffered video streaming 10Mbps Idle Management M1 AP1 Beacon TX TBD All unassociated STAs Probe Req TBD 2 – Enterprise Scenario (From the Wireless Office scenario in 11/722r2) Parameter Value Topology Figure 2 - BSSs within the building floor
Parameters: TBD model Hyper-exponential model can be used for peak event pattern where users requesting network access in big spikes from the mean. Parameters: TBD References for traffic models 11-13/486, “HEW traffic modeling” Guoqing Li et al, (Intel) [1] [2] [3]11-09-0296-16-00ad-evaluation-methodology.doc [4] Rongduo Liu et al., “An Emperical Traffic Model of M2M Mobile Streaming Services ”, International conference C on Multimedia information networking and security, 2012 [5] JO. Rose, “ Statistical properties of MPEG video traffic and their impact on traffic modeling in ATM systems ”, Tech report, Institute of CS in University of Wurzburg [6] Savery Tanwir., “A survey of VBR traffic models”, IEEE communication surveys and tutorials, Jan 2013 [7] Aggelos Lazaris et al., “A new model for video traffic originating from multiplexed MPEG-4 videoconferencing streams”, International journal on performance evaluation, 2007 [8] A. Golaup et al., “Modeling of MPEG4 traffic at GOP level using autoregressive process”, IEEE VTC, 2002 [9] K. Park et al., “Self-Similar network traffic and performance evaluation”, John 2000 [10] M Dai et al., “A unified traffic model for MPEG-4 and H.264 video traces”, IEEE Trans. on multimedia, issue 5 2009. [11] L Rezo-Domninggues et al., “Jitter in IP network: A cauchy approach”, IEEE Comm. Letter, Feb 2010 [12] Hongli Zhang et al., “Modeling Internet link delay based on measurement”, International conference on electronic computer technology, 2009. Annex 3 - Templates Parameter Value Topology