~100s of STAs/AP, P2P pairs 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 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 with existing scenarios Is usage model 2b relevant for HEW, in the opinion of the SG? 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 If considered relevant: we need to either add one more scenario, or fit it into an existing one (preferred) E.g. can it fit as a special case of Scenario 2 or 3?
DTIM Integer in unit of BI { 1, 3 } PSM timeout Length of time before STA goes to { 50, 100, 200 } ms save polling (PSP) Beacon Interval 100 TU 100 TU DTIM Integer in unit of BI { 1, 3 } Unscheduled automatic power save delivery Beacon Interval 100 TU 100 TU DTIM Integer in unit of BI { 1, 3 } Max SP Length Indicate the maximum number of buffered A-MSDUs, and MMPDUs that AP may deliver per SP { 2, 4, 6, ∞ } AC Access Category ** Simulation results presented should clearly indicated what values are used in the generating the simulation results 1 - Residential Scenario (Initial version from documents 11-13/1081r0, 786) Topology Figure 1 - Residential building layout Parameter Value
Environment description building 5 floors, 3 m height in each floor 2x10 apartments in each floor Apartment size:10m x 10m x 3m APs location In each apartment, place AP in random xy-locations (uniform distribution) at z = 1.5 m above the floor level of the apartment. AP Type M APs in the building AP_1 to AP_M1: HEW to AP_M: non-HEW M = Number of Apartments = 100 M1 = [100] Non-HEW = 11b/g/n in 2.4GHz Non-HEW = 11ac in 5GHz STAs location In each apartment, STAs in random (uniform distribution) at z = 1.5m above the floor level of the apartment Number of STA and STAs type N STAs in each apartment STA_1 to STA_N1: HEW STA_{N1 +1} to STA_N: non-HEW N = [2] or N = 10 N1 = [N]
STA #of TX antennas All HEW STAs with [1] or all with 2 STA #of RX antennas All HEW STAs with [1] or all with 2 MAC parameters Access protocol parameters [EDCA with default parameters according to traffic class] Center frequency, BSS BW and primary channels Operating channel: 2.4GHz: random assignment of 3 channels 5GHz: random assignment of [3] or 5 80MHz non-overlapping channels, with random selection of primary channel per operating channel Aggregation [A-MPDU / 64 MPDU aggregation size / BA window size, No A-MSDU, with immediate BA] Max # of retries Max retries: 10 RTS/CTS Threshold [No RTS/CTS] Association X% of STAs in an apartment are associated to the AP in the apartment; 100-X% of the STAs are not associated [X=100] Management Each AP is independently managed overlapping
Traffic For Calibration: Use full buffer traffic Downlink only or Uplink only BE class For performance Traffic model (Per each apartment) - TBD # Source/Sink Name Traffic definition Flow specific parameters AC Downlink D1 AP/STA1 Buffered streaming 200Mbps/N (4k video 20Mbps for N=10); VI … VI DN AP/STA_N Buffered video streaming 200Mbps/N (4k 20Mbps for N=10); VI Uplink U1 STA1/AP 1.5Mpbs UN STA_N/AP 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 11/722r2)
T8 Virtual desktop infrastructure T9 VoIP Reference traffic profile for Scenario 3 Traffic Model # Traffic model name Description Application traffic (Forward / Backward) Application Load (Mbps) (Forward / Backward) A-MPDU Size (B) (Forward / Backward) Baseline Power Save Mechansim T1 Local file transfer FTP/TCP transfer of large file within local network FTP file transfer / FTP TCP ACK Full buffer / 0.1 Max / 64 T2 Lightly compressed video T3 Internet streaming T4 4k video streaming T5 Online game server T6 Management: Beacon T7 Management: requests T8 Multicast Video Streaming UDP/IP transfer of compressed video streaming UDP packet transfer/Nothing 3-6Mbps/Nothing T8 Gaming T9 VoIP Reference traffic profile for Scenario 4 Traffic Model # Traffic name Description Application traffic (Forward / Backward) Application Load (Mbps) (Forward / Backward) A-MPDU Size (B) (Forward / Backward) Baseline Power Save Mechansim T1 Local file transfer FTP/TCP transfer of large file within local network FTP file transfer / FTP TCP ACK Full buffer / 0.1 Max / 64 T2 Lightly compressed video T3 Internet streaming video/audio T4 4k video streaming T5 Online game server T6 Management: Beacon T7 Management: Probe requests
T8 VoIP References for traffic models 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 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 Figures Environment description APs location AP Type