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Doc.: IEEE 802.11-14/0307r0 Submission January 2014 Nihar Jindal, Broadcom PHY Calibration Results Date: 2014-01-20 Authors: Slide 1.

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Presentation on theme: "Doc.: IEEE 802.11-14/0307r0 Submission January 2014 Nihar Jindal, Broadcom PHY Calibration Results Date: 2014-01-20 Authors: Slide 1."— Presentation transcript:

1 doc.: IEEE 802.11-14/0307r0 Submission January 2014 Nihar Jindal, Broadcom PHY Calibration Results Date: 2014-01-20 Authors: Slide 1

2 doc.: IEEE 802.11-14/0307r0 Submission Overview Calibration flowchart from [1] –We present results on the noted items for simulation scenario 1 January 2014 Nihar Jindal, BroadcomSlide 2

3 doc.: IEEE 802.11-14/0307r0 Submission Scenario 1: Simulation Parameters 5 floor building with 2x10 apartments per floor, 10m x 10m x 3m apartments 1 AP per apartment, either centrally located (give exact coordinates) or randomly located within apartment (uniform distribution) 11nB model for PL, shadowing, and multipath: –PL: free space (f_c = 2.4e9) until breakpoint distance of 5 meters, exponent of 3.5 after breakpoint distance –Minimum path loss = 30 dB, i.e., PL = minimum of computed PL and 30 dB Minimum computed before shadowing and wall/floor loss added –Log-normal shadowing with 4 dB std. deviation, iid for every link Penetration losses: 12 dB floor, 17 dB wall 2.4 GHz, 20 Mhz channels, either all BSS’s on same channel or each BSS randomly picks 1 of 3 channels TX power per antenna: 23 dBm AP, 17 dBm STA 5 dB noise figure -> effective noise floor is -96 dBm AWGN and 11nB –For 11nB, use Shannon capacity function to compute effective SINR: log2(1+SNR) –For MIMO use MMSE receiver. Specified TX power is per antenna. January 2014 Nihar Jindal, BroadcomSlide 3

4 doc.: IEEE 802.11-14/0307r0 Submission Description of Results Place devices, choose random shadowing per link, compute path loss accounting for distance, walls/floors, and shadowing Turn on specified set of devices and measured SINR’s at appropriate devices –100% DL: turn on all AP’s and measure SINR at each associated STA –0% DL: turn on 1 STA (randomly selected within BSS) and measure SINR at each respective AP –50% DL: in each BSS randomly choose to activate a DL link (to randomly selected STA) or an UL link (from randomly selected STA) and measure SINR at appropriate RX device # WLAN channels: 1 or 3 (random selection) Fading: 1x1 AWGN, 1x1 11nB, 2x2 11nB (all rank 2) Traffic: 100% DL, 0% DL, 50% DL January 2014 Nihar Jindal, BroadcomSlide 4

5 doc.: IEEE 802.11-14/0307r0 Submission CDF of interference-free SNR Such high SNRs may not be realistic –May want to add intra-apartment walls, or increase intra-apartment shadowing January 2014 Nihar Jindal, BroadcomSlide 5

6 doc.: IEEE 802.11-14/0307r0 Submission SINR CDF for 1 WLAN channel January 2014 Nihar Jindal, BroadcomSlide 6 Left plot: 100% DL or 0% DL traffic –100% DL and 0% DL have nearly identical SINR’s because UL/DL only differ in transmit power, but that is inconsequential in this scenario because interference-limited Right plot: 50% DL/UL –UL SINR distribution is 6 dB worse than DL SINR, due to 6 dB lower TX power

7 doc.: IEEE 802.11-14/0307r0 Submission SINR CDF for 3 WLAN channels January 2014 Nihar Jindal, BroadcomSlide 7 Left plot: 100% DL or 0% DL traffic –100% DL and 0% DL have nearly identical SINR’s Right plot: 50% DL/UL –UL SINR distribution is 6 dB worse than DL SINR

8 doc.: IEEE 802.11-14/0307r0 Submission SINR CDF for 2x2 MIMO January 2014 Nihar Jindal, BroadcomSlide 8 Left plot: 100% DL –Nearly identical to 0% DL SINR’s Right plot: 50% DL/UL –UL SINR distribution is 6 dB worse than DL SINR All transmissions are rank 2, MMSE RX

9 doc.: IEEE 802.11-14/0307r0 Submission Tabulated Results: 1 Channel Scenario1 # channels1 % DL traffic100 0050 FadingAWGN11nBAWGN11nBAWGN11nB Downlink Uplink DownlinkUplinkDownlinkUplink 1%-8.33-11.32-8.36-11.44-6.25-12.43-9.27-15.35 5%-2.51-5-2.53-5.08-0.41-6.36-2.95-8.6 10%0.46-1.780.43-1.792.7-3.260.4-5.25 50%11.139.7911.19.8213.547.5612.266.49 90%22.4322.4622.4422.4825.1219.1225.0919.25 95%26.0326.3726.126.3428.822.829.0223.05 99%33.5134.0633.3533.8836.2230.2336.6730.78 Mean11.3410.1411.3110.113.787.7912.546.77 January 2014 Nihar Jindal, BroadcomSlide 9

10 doc.: IEEE 802.11-14/0307r0 Submission Tabulated Results: 3 channels Scenario1 # channels3 % DL traffic100 0050 FadingAWGN11nBAWGN11nBAWGN11nB Downlink Uplink DownlinkUplinkDownlinkUplink 1%-3.82-6.59-4.02-6.61-1.87-7.91-4.63-10.2 5%2.850.522.830.55.07-0.872.58-2.86 10%6.394.286.44.238.762.776.510.98 50%19.7218.9219.7118.9222.3616.4521.5815.66 90%35.9335.9235.9335.9538.7732.8338.6932.69 95%40.9141.1340.914143.7637.9143.9338.1 99%50.6651.2250.550.9853.2347.5553.8548.05 Mean20.5319.5820.5119.5723.1417.2222.1716.35 January 2014 Nihar Jindal, BroadcomSlide 10

11 doc.: IEEE 802.11-14/0307r0 Submission Tabulated Results: 2x2 MIMO Scenario1 # channels13 % DL traffic100050100050 Fading2x2 11nB DownlinkUplinkDownlinkUplinkDownlinkUplinkDownlinkUplink 1%-16.45-16.6-14.52-20.24-11.86-11.59-9.97-15.3 5%-10.14-10.06-7.99-13.66-4.61-4.55-2.5-7.94 10%-6.91-6.86-4.8-10.33-0.87 1.23-4.15 50%4.44.346.71.1613.0112.9615.629.83 90%16.6316.5419.2313.3229.8829.7432.5726.61 95%20.4220.3223.0917.0635.0734.8537.7731.76 99%28.0427.830.8124.6344.7844.7947.3441.87 Mean4.684.627.011.3513.8113.7816.3310.62 January 2014 Nihar Jindal, BroadcomSlide 11

12 doc.: IEEE 802.11-14/0307r0 Submission PHY System Sim Calibration Results PHY system simulation results for scenario 1 with previously described parameters, 100% DL, 5 STA’s per BSS CCA threshold values: -90 dBm, -60 dBm, -30 dBm Display CDF’s of: –Per-STA throughput –SINR of active links –Per-STA selected MCS –Per-STA airtime January 2014 Nihar Jindal, BroadcomSlide 12

13 doc.: IEEE 802.11-14/0307r0 Submission Scenario 1, 1x1 11nB January 2014 Nihar Jindal, BroadcomSlide 13

14 doc.: IEEE 802.11-14/0307r0 Submission Scenario 1, 2x2 11nB January 2014 Nihar Jindal, BroadcomSlide 14

15 doc.: IEEE 802.11-14/0307r0 Submission Summary Presented SINR calibration results for scenario 1 –Based on an operationally meaningful SINR definition –Included effective SINR results with multipath and 2x2 MIMO Presented PHY system simulation results for scenario 1 –Allows for calibration of per-STA throughput January 2014 Nihar Jindal, BroadcomSlide 15

16 doc.: IEEE 802.11-14/0307r0 Submission References “HEW Evaluation Methodology”, IEEE 802.11- 13/1359r1 January 2014 Nihar Jindal, BroadcomSlide 16

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