mdli h h id d60ghmodeling the human induced 60 ghz channel ... · mdli h h id d60ghmodeling the...

doc.: IEEE 802.11-11/1170r0November 2009

M d li h h i d d 60 GHModeling the human induced 60 GHz channel dynamics

Date: 2009-11-17Authors:

Name Affiliations Address Phone email Martin Jacob Technische

UniversitätSchleinitzstr. 22 D 38092

+495313912451

[email protected]

Universität Braunschweig

D-38092 Braunschweig

51

Sebastian Priebe Technische Universität B h i

Schleinitzstr. 22 D-38092 B h i

[email protected]

Braunschweig BraunschweigThomas Kürner Technische

Universität Braunschweig

Schleinitzstr. 22 D-38092 Braunschweig

+495313912416

t.kuerner@ tu-bs.de

Submission Thomas Kürner, TU BraunschweigSlide 1


Abstract

Th t f l ti ith bl ki f i l th ( h lThe support of people motion with blocking of signal paths (channeldynamics) is currently an open issue in the TGad channel model [1].To overcome this we present simulations of the time-variant 60 GHzchannel based on ray tracing, a random walk model and a diffractionmodel. The results could be easily included in the channel modeldocument [2] as a further statistic.

Submission Thomas Kürner, TU BraunschweigSlide 2


Methodology2 5

3

Ray Tracing

0.5

1

1.5

2

2.5

0 0.5 1 1.5 2 2.5 3 3.5 4 4.50

Random Walk Model

0.06

0.08

0.1

DF

1st order reflections from walls

-0.2 0 0.2 0.4 0.6 0.8 1 1.20

0.02

0.04

Ed/E0

PD

Ch l St ti tiDiffraction Model

Set of time variant channel realizations

Channel Statistics

Submission Slide 3 Thomas Kürner, TU Braunschweig


Diffraction Model• Assuming Person as „Multiple Edges“

)1(E

Assuming Person as „Multiple Edges• Electric field strength calculation based

on Fresnel Integral:

21

2

0

)(2

)exp(2

)1(

ddhmit

dttjjEEd

21

21

ddhmit

Ed

Verification of Model byMeasurements from [3]

• Loss:0

log20)(EEdBG d

d

• Good agreement between this simple model and measurements

Multiple Edge Model

Submission

Multiple Edge Model

Slide 4 Thomas Kürner, TU Braunschweig


Ray Tracing Simulations

• STA-AP Scenario from [2]

AP iti fi d3

• AP position fixed

• STA positions uniformly distributed on 2

2.5

APthe table

Simulated:1071 STA positions0.5

1

1.5

STA

• Result: Each ray represents one cluster (cf. [2]) 1071 CIR for the static scenario

0 0.5 1 1.5 2 2.5 3 3.5 4 4.50

1071 CIR for the static scenario Categorized Rays (Table 2 from [2])

LOS 1st order

Submission

2nd order



Random Walk Model

• Simulation Parameters 1 Person walking around the table

d lk i h f di i Random Walk with preference direction Speed v =1m/s Step size: 60 cm Person assumed as cuboid:

0.45m x 0.15m x 1.70m

Time resolution: 10 ms Simulation Time: 30 s

A l diff ti d l t th t i lt Apply diffraction model to the ray tracing results

3001 different time-variant CIRs for each of the 1071 STA

Submission

positions



Simulation Example for Random Walk



Example Results

Temporal variation of the diffraction Gain of the four 1st order reflected raysfor a fixed STA position on the table



Statistics1. Number of blocked clusters

• Based on pure „blockage approach“• Full blockage if ray intersects personFull blockage if ray intersects person• 2 categories (1st & 2nd order)

2. Blockage probabilities for single clusters Based on diffraction model Full blockage if ray is attenuated by more than 2 dBFull blockage if ray is attenuated by more than 2 dB 2 categories (1st & 2nd order)

3. Amplitude distribution Based on diffraction model

Attenuation due to diffraction

Submission

Attenuation due to diffraction



Number of blocked clusters - 1

• 1071 x 3001 = 3,214,071 channel realizations• In 99.99 % of the realizations the LOS link was NOT blocked!

• 1st order reflections from walls

1 t d fl ti f ll

0.6

0.8

1

F

1st order reflections from wallsNumber of blocked

ClustersProbability

0 80.4 %

0

0.2

0.4PD

F

1 13.2 %

2 6.4 %

3 0 %0 1 2 3 4

0

Number of blocked clusters 4 0 %



Number of blocked clusters - 2

• 2nd order reflections from two walls

Number of blockedClusters

Probability

0 71.6 %2nd order reflections from two walls

1 10.5 %

2 6.2 %

3 3.8 %0 4

0.6

0.8

DF

4 0.3 %

5 0 %

6 6.4 %0 1 2 3 4 5 6 7 8

0

0.2

0.4

PD

7 0.7 %

8 0.5%

0 1 2 3 4 5 6 7 8Number of blocked clusters



Blockage Rate of single clusters

• The blockage rate of single clusters is calculated as the ratio of the duration ofblockage and the simulation time (relative blockage time)

• In 99.99 % of the realizations the LOS link was NOT blocked!

0.51st order reflections from walls

0.42nd order reflections from walls

• For the four 1st order reflections and the eight 2nd order reflections pdfs are given:

0 2

0.3

0.4

PD

F

0.2

0.3

PD

F

0 0.05 0.1 0.15 0.2 0.250

0.1

0.2

0 0.1 0.2 0.3 0.4 0.50

0.1

Submission

relative blockage time relative blockage time


doc.: IEEE 802.11-11/1170r0

A li d di ib i f d hNovember 2009

Amplitude distribution of attenuated paths0.2

1st order reflections from walls0.1

1st order reflections from walls

0 05

0.1

0.15

PD

F

0.04

0.06

0.08

PD

F

-40 -30 -20 -10 0 100

0.05

Ed/E0

-0.2 0 0.2 0.4 0.6 0.8 1 1.20

0.02

Ed/E0

2 d d fl ti f ll2 d d fl ti f ll

0 1

0.15

0.2

DF

2nd order reflections from walls

0.06

0.08

0.1

DF

2nd order reflections from walls

-40 -30 -20 -10 0 100

0.05

0.1

PD

-0.2 0 0.2 0.4 0.6 0.8 1 1.20

0.02

0.04PD

Ed/E0Ed/E0

• Only attenuated paths taken into account (Ed/E0 <-2 dB)• Otherwise the amplitude distribution would be nearly Dirac shaped at Ed/E0 =1 (0 dB),

Submission

p y p d 0 ( ),because the single path is not blocked most of the time



Conclusion

We propose to introduce the channel dynamics into theTGad channel document based on the presentedpsimulation results. From this data it is possible toextract statistics about the total number of blockedclusters, about the blockage rate of single clusters orabout the amplitude distribution of single clusters.These statistic can be included in the channel model inThese statistic can be included in the channel model inan adequate way.



References

• [1] E. Perahia: TGad Task Group Document Open Items IEEE802.11-09/1108r0, October 2009

• [2] A. Maltsev et al.: Channel Models for 60 GHZ WLAN Systems, IEEE802.11-09/0334r3, July 2009

• [3] M. Jacob et al.: Human Body Blockage - Guidelines for TGad MAC[3] M. Jacob et al.: Human Body Blockage Guidelines for TGad MAC Development, IEEE802.11-09/1169r0, November 2009


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