Introduction This document defines simulation scenarios to be used for Evaluation of performance of features proposed in HEW Generation of results for simulators calibration purpose. Each scenario is defined by specifying Topology: AP/STAs positions, P2P STAs pair positions, obstructions , layout, propagation model Traffic STA - AP traffic P2P traffic (tethering, Soft-APs, TDLS) ‘Idle’ (generating management traffic such as probes/beacons) List of PHY, MAC, Management parameters We may want to fix the value of some parameters to limit the degrees of freedom, and for calibration Optionally, some STAs may use legacy (11n/ac) operation parameters, if required to prove effectiveness of selected HEW solutions An interfering scenario (its performance optionally tracked) Not managed or managed by a different entity than the one of the main scenario Defined by its own Topology, Traffic model and parameters
HEW to M = Number of Apartments = 100 M1 = Non-HEW = 11 in 2.4GHz Non-HEW = 11ac in 5GHz STAs location In each apartment, place 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 Non-HEW = 11b/g (TBD) in 2.4GHz Non-HEW = 11ac (TBD) in 5GHz Fading model :
Data Preamble [5GHz 11ac] STA max TX 1dBmper antenna AP max TX Power 21dBm per antenna AP #of TX antennas 24 AP #of RX antennas STA #of TX antennas STA #of RX antennas AP antenna gain +2dBi STA antenna gain dBi Figure 7dB MAC parameters Access protocol parameters [EDCA with default parameters according to traffic class] 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] Traffic For Calibration: Use full buffer traffic only or Uplink only BE class For 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 streaming 200Mbps/N (4k video 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
APs location APs on the center of each ntenna height m. AP Type HEW STAs location STAs are placed randomly in each hexagon antenna m. Number of STA and STAs type N STAs with each . STA_1 to STA_{N1}: HEW STA_{N1+1} to STA_{N} : non-HEW (N= 50 - 100 TBD, N1 = TBD) Non-HEW = 11b/g (TBD) in 2.4GHz Non-HEW = 11ac (TBD) in 5GHz [N1= Channel Model UMi TBD Note: In case of UMi channel model, M.2135-1 defines that 50% of user are indoor users, but since indoor users can be served by indoor AP, we can change the percentage of users are indoor; need to decide which percentage Penetration Losses None PHY parameters MCS GI ong Data Preamble [2.4GHz, 11n; 5GHz, 11ac] STA TX power 15dBm AP TX Power 30dBm AP #of TX antennas AP #of RX antennas STA #of TX antennas STA #of RX antennas AP antenna gain dBi STA antenna gain dBi Figure 7dB MAC parameters Access protocol parameters [EDCA with default EDCA Parameters set] rimary channels Frequency 1 is all BSSs are using the same 80MHz channel [Primary channel]
Annex 1 - Reference traffic profiles per scenario Reference traffic profile for Scenario 1 Traffic # Traffic name Description Application traffic (Forward / Backward) Application Load (Mbps) (Forward / Backward) A-MPDU Size (B) (Forward / Backward) T1 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 Reference traffic profile for Scenario 2 Traffic Model # Traffic model name Description Application traffic (Forward / Backward) Application Load (Mbps) (Forward / Backward) A-MPDU Size (B) (Forward / Backward) 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
Reference traffic profile for Scenario 3 Traffic Model # Traffic name Description Application traffic (Forward / Backward) Application Load (Mbps) (Forward / Backward) A-MPDU Size (B) (Forward / Backward) 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 Multicast Streaming UDP/IP transfer of compressed video streaming UDP packet transfer/Nothing 3-6Mbps/Nothing Reference traffic profile for Scenario 4 Traffic Model # Traffic model name Description Application traffic (Forward / Backward) Application Load (Mbps) (Forward / Backward) A-MPDU Size (B) (Forward / Backward) T1 file transfer FTP/TCP transfer of 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
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