Is the ‘random’ position of STAs randomly generated by each simulation run, or are we going to have a file with common positions? Several channel model and RF related parameters that are likely to be common and fixed across scenarios see #1383 Scenarios summary This document reports the initial agreement according to document 11-13/1000r2. Scenario Name Topology Management Channel Model Homogeneity ~Traffic Model 1 Residential A - Apartment building e.g. ~10m x 10m apartments in a multi-floor building ~10s of STAs/AP, P2P pairs Unmanaged Indoor Flat Home 2 Enterprise B - Dense small BSSs with clusters e.g. ~10-20m AP distance, ~100s of STAs/AP, P2P pairs Managed Indoor Flat Enterprise 3 Indoor BSS Hotspot C - small BSSs, uniform e.g. ~10-20m inter AP distance ~100s of STAs/AP, P2P pairs Mobile 4 Outdoor BSS Hotspot D - Large BSSs, uniform e.g. 100-200m inter AP distance ~100s of STAs/AP, P2P pairs Managed Outdoor Flat Mobile 4a Outdoor Large BSS Hotspot + Residential D+A Managed + Unmanaged Hierarchical Mobile + Home
For performance tests: Traffic model (Per each apartment) - TBD # Source/Sink Name Traffic definition Flow specific parameters AC Downlink D1 AP/STA1 Buffered video streaming 200Mbps/N (4k video 20Mbps for N=10); VI … VI DN AP/STA_N Buffered video streaming 200Mbps/N (4k video 20Mbps for N=10); VI Uplink U1 STA1/AP 1.5Mpbs UN 1.5Mpbs P2P (optional) P1 STA_{N1+1}/STA_{N1+2} Buffered video streaming 10Mbps VI STA_{N-1}/STA_{N} Buffered video streaming 10Mbps Idle Management (optional M1 AP1 Beacon TX 80 octets long Beacon frame is transmitted every 100ms All unassociated STAs Probe Req TBD 2 – Enterprise Scenario (Initial version form the Wireless Office scenario in Parameter Value Topology Figure 2 - BSSs within the building floor
11-13/486, “HEW video traffic modeling” Guoqing Li et al, (Intel) [1] [2] 11-13-1059-01-hew-video-performance-requirements-and-simulation-parameters [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 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 traffic at GOP level using autoregressive process”, IEEE VTC, 2002 [9] K. Park et al., “Self-Similar network traffic and performance evaluation”, John Wiley&Son, 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 et al., “Modeling Internet link delay based on measurement”, International conference on electronic computer technology, 2009. Annex 3 - Templates Parameter Value Topology Figures Environment description APs location AP Type STAs location Number of STA and STAs type Channel Penetration Losses