doc.: 11-14-0846-00-00ax submission july 2014 slide 1 proposed calibration for mac simulator date:...

doc.: 11-14-0846-00-00ax

Submission

July 2014

Slide 1

Proposed Calibration For MAC simulatorDate: 2014-07-12

Name Company Address Phone email Gwen Barriac Qualcomm 5775 Morehouse Drive

San Diego

Simone Merlin Qualcomm 5775 Morehouse Drive San Diego

George Cherian Qualcomm 5775 Morehouse Drive San Diego

Authors:

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Submission

Introduction

• Multiple IEEE presentations have looked at the effects of CCA levels. – See next slide

– Many claim significant gain by increasing CCA levels.

– Numerous types of scenarios/simulators were used to make these claims– PHY simulator

– Real devices

– MAC simulator/scenario 3

• This presentation focuses on understanding the effect of changing CCA levels in a residential scenario ( scenario 1)

– Simulations are done with a MAC simulator• Detailed MAC modelled

• Simple PHY abstraction

– Optimal CCA levels for both mean and 5% TPUT are found for a variety of settings.

July 2014

Barriac et al (Qualcomm)Slide 2

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Submission

Previous Contributions on CCA levels

July 2014

Barriac et al (Qualcomm)Slide 3

Document # Company Title Notes11-14/0628r0 SK telecom measurements on CCA Thresholds in

OBSS environmentsincreasing CCA can help target APs overcome deferral due to ACI interference in dense setting. ( experimental results)

11-14/0578r0 Interdigital Residential Scenario CCA/TCPsimulation Discussion

Optimal CCA for mean TPUT varies with Txpower, and reuse.

11-14/0523r0 Orange MAC simulations results for Dynamic sensitivity Control ( CCA adaptation) and tranmist power control

CCA and TCP are strongly increasing reuse and aggregate throughput

11-14/0635r1 DSP Group Dynamic Sensitivity Control implementation

CCA level per STA depends on distance to AP.

11-14/0082r0 & 83r0 Bcom Improved Spatial Reuse Feasibility part I & II

2x-3x gains in both the mean and tail by increasing CCA levels.

Densifi: date: 2014-06-04

Bcom performacne Gains from CCA Optimiziation

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Submission

Simulation Setting I

July 2014

Barriac et al (Qualcomm)Slide 4

• Residential Scenario– IEEE residential scenario

baseline• Less apartments modelled

for faster run times– Expect comclusions will

not change

• 1 STA per AP– 2x5x3 apartments– 30 APs ; 30STAs ; – Pathloss as specified in

11ax Simulation Scenarios document

– 1 80 MHz channel– Results averaged over

multiple random drops of APs and STAs locations

Floor 1

Floor 2

Example of one drop

Floor 3

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Simulation Setting II• Simulation Details:

– DL only Data traffic (+ UL BAs) – Full buffer UDP– Default Tx Power: 20 dBm per antenna (AP), 15 dBm ( STA) – Antenna Gain: 0 dBi APs, -2dBi STAs– Rate Control:

• MCS per link chosen to maximize long term goodput

– MAC modelling• MAC is fully modelled• Deferral according to 11ah CCA rules

– OBSS packets deferral only if RSSI > ED (assume BSS ID (color) in PPDU

• ED level controls deferral on a network level

• Nodes on the same 80 MHz channel have the same primary channel

– PHY modelling• Pathloss, shadowing, (pathloss as in SS document, shadowing w sd 5dB)• no fading. • Long term PER curves based on ChD• 1x1 (tx antennas x rx antennas)

July 2014

Barriac et al (Qualcomm)Slide 5

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Submission

Tests Run

• Using ChD PER curves:– Reuse 1 default power levels

– Reuse 1, 6 dB higher tx power levels• 6 dB higher power models total power when 4 antennas

• Using AWGN PER curves:– Reuse 1 default power levels

– Reuse 1, 6dB higher tx power levels• 6 dB higher power models total power when 4 antennas.

July 2014

Barriac et al (Qualcomm)Slide 6

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RESULTS WITH CHD PER CURVES

July 2014

Gwen Barriac (Qualcomm)Slide 7

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TPUT as a function of CCA for Reuse 1

July 2014

Barriac et al (Qualcomm)Slide 8

• Optimal CCA for mean: -72

• Optimal CCA for 5% point: -92

CCA level 5 percentile 50 percentile 90 percentile mean

-52 0.00 10.85 103.30 35.25

-62 0.09 23.44 109.25 40.35

-72 1.27 30.32 107.2 45.63

-82 2.82 30.97 100.84 44.65

-92 4.50 24.54 74.98 33.08

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Submission

TPUT as a function of CCA for Reuse 1, with 6 dB higher Tx Power at both AP and STA

July 2014

Barriac et al (Qualcomm)Slide 9

• Optimal CCA for mean: -72

• Optimal CCA for 5% point: -82

CCA level 5 percentile 50 percentile 90 percentile mean

-52 0.01 8.66 105.55 34.61

-62 0.18 26.78 120.97 45.28

-72 2.34 31.27 109.50 46.43

-82 2.76 27.37 102.50 43.07

-92 1.78 23.91 61.06 29.79

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Possible Simultaneous mean & 5% TPUT

July 2014

Qualcomm Slide 10

CCA level 5 percentile 50 percentile 90 percentile mean

-52 0.00 10.85 103.30 35.25

-62 0.09 23.44 109.25 40.35

-72 1.27 30.32 107.2 45.63

-82 2.82 30.97 100.84 44.65

-92 4.50 24.54 74.98 33.08

CCA level 5% tput Loss compared to optimal

Mean tput loss compared to optimal

-92 0 26%

-82 37% 2%

-72 71% 0%

-62 99% 11%

-52 100% 22%

Reuse 1, default Tx Power , chD PER curves

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Submission

Summary of Results so far ( chD PER curves)

July 2014

Barriac et al (Qualcomm)Slide 11

Reuse 1 default TX power

Reuse 1 6 dB Higher Tx power

Optimal CCA for mean -72 -72

Optimal CCA for 5% -92 -82

• For default power case, the optimal mean TPUT comes with a 70% loss

in 5% point. – It can be difficult to optimize for both mean and 5% point simultaneously.

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RESULTS WITH AWGN PER CURVES

Note: Chan D curves better reflect reality. AWGN curves run for understanding of how simulator reacts in different settings.

Slide 12Qualcomm

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Reuse 1, Default TX power AWGN curves.

July 2014

Barriac et al (Qualcomm)Slide 13

• Optimal CCA for mean: -62

• Optimal CCA for 5% point: -92

CCA level 5 percentile 50 percentile 90 percentile mean

-52 0.00 15.03 158.73 52.21

-62 0.00 30.09 170.16 62.05

-72 1.19 41.85 146.50 60.38

-82 4.67 40.63 116.73 53.21

-92 4.79 25.46 80.36 35.84

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Reuse 1, 6 dB higher Tx Power , AWGN curves

July 2014

Barriac et al (Qualcomm)Slide 14

• Optimal CCA for mean: -62

• Optimal CCA for 5% point: -82

CCA level 5 percentile 50 percentile 90 percentile mean

-52 0.00 10.29 177.21 55.50

-62 0.21 36.59 169.71 64.05

-72 3.63 41.80 133.96 57.99

-82 4.49 33.44 107.61 47.54

-92 2.94 26.38 59.35 30.91

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Possible Simultaneous mean & 5% TPUT

July 2014

Barriac et al (Qualcomm)Slide 15

Reuse 1, 6 dB higher Tx Power , AWGN curves

CCA level 5% tput Loss compared to optimal

Mean tput loss compared to optimal

-92 34% 51%

-82 0 % 26%

-72 19% 11%

-62 95% 0%

-52 100% 14%

CCA level 5 percentile 50 percentile 90 percentile mean

-52 0.00 10.29 177.21 55.50

-62 0.21 36.59 169.71 64.05

-72 3.63 41.80 133.96 57.99

-82 4.49 33.44 107.61 47.54

-92 2.94 26.38 59.35 30.91

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Summary of Results w/ AWGN

July 2014

Barriac et al (Qualcomm)Slide 16

Reuse 1 default TX power

Reuse 1 6 dB Higher Tx power

Optimal CCA for mean -62 -62

Optimal CCA for 5% -92 -82

• Difficult to optimize for both mean and 5% point simultaneously.– Optimal mean can come with 95% loss in 5% point

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Submission

Comparison of Optimal CCA levels for AWGN and Chan D PER curves

July 2014

Barriac et al (Qualcomm)Slide 17

Reuse 1 default TX powerChannel D PER curves

Reuse 1 6 dB Higher Tx powerChannel D PER curves

Reuse 1 default TX powerAWGN curves

Reuse 1 6 dB higher TX powerAWGN curves

Optimal CCA for mean

-72 -72 -62 -62

Optimal CCA for 5%

-92 -82 -92 -82

• Changing PER curves has large effect on optimal CCA level for mean• Changing Power level also affects optimal CCA • Optimal CCA level sensitive to parameters.

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Submission

Conclusions:

• Optimal CCA levels are highly dependent on parameter settings– example, Tx Power, PER curves

• Difficult to get simultaneously optimize both mean and 5% point

July 2014

Barriac et al (Qualcomm)Slide 18

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Submission

Additional Considerations

• We would like to propose that the rate control used in these studies be included in the EM document for use with the MAC simulator and integrated simulator. – See document xxxxx

• We would also like to propose that the deferral method used in these studies be used for the next stage of MAC simulator calibration.

July 2014

Barriac et al (Qualcomm)Slide 19