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MASSIMO FRANCESCHETTI University of California at Berkeley Stochastic rays: the cluttered environment

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MASSIMO FRANCESCHETTIUniversity of California at Berkeley

Stochastic rays: the cluttered environment

The true logic of this world is in the calculus of probabilities.James Clerk Maxwell

From a long view of the history of mankind — seen from, say ten thousand years from now — there can be little doubt that the most significant event of the 19th century will be judged as

Maxwell’s discovery of the laws of electrodynamics. The American Civil War will pale into provincial insignificance

in comparison with this important scientific event of the same decade.Richard Feynman

Maxwell Equations

• No closed form solution• Use approximated numerical solvers

in complex environments

We need to characterize the channel

•Power loss•Bandwidth•Correlations

BN

PBC

0

1log

solved analytically

Simplified theoretical model

Everything should be as simple as possible, but not simpler.

solved analytically

Simplified theoretical model

2 parameters: density absorption

The photon’s stream

The wandering photon

Walks straight for a random lengthStops with probability

Turns in a random direction with probability (1-)

One dimension

One dimension

After a random length xwith probability stop

with probability (1-)/2continue in each direction

x

One dimension

x

One dimension

x

One dimension

x

One dimension

x

One dimension

x

One dimension

x

One dimension

x

P(absorbed at x) ?

2)(

xexq

pdf of the length of the first stepis the average step lengthis the absorption probability

One dimension

2)(

xexq

pdf of the length of the first stepis the average step lengthis the absorption probability

x

= f (|x|,) xe

2P(absorbed at x)

The sleepy drunkin higher dimensions

The sleepy drunkin higher dimensions

After a random length, with probability stop

with probability (1-) pick a random direction

The sleepy drunkin higher dimensions

The sleepy drunkin higher dimensions

The sleepy drunkin higher dimensions

The sleepy drunkin higher dimensions

The sleepy drunkin higher dimensions

The sleepy drunkin higher dimensions

The sleepy drunkin higher dimensions

The sleepy drunkin higher dimensions

The sleepy drunkin higher dimensions

The sleepy drunkin higher dimensions

r

P(absorbed at r) = f (r,)

Derivation (2D)

...

)(*)1(*)1()(

)(*)1()(

)()(

02

01

0

rgqqrg

rgqrg

rqrg

Stop first step

Stop second step

Stop third step

r

erq

r

2)(

pdf of hitting an obstacle at r in the first step

i

igrg )( pdf of being absorbed at r

)(*)1()()( rgqrqrg

Derivation (2D)

)(*)1()()( rgqrqrg

)1()(

22 G

])([2

)( 122

0 IrKrg

FT-1

FT

nn

n drJ

I0

2/12202

1 )(

)(

)1(

Derivation (2D)

The integrals in the series I1 are Bessel Polynomials!

])(1()()1[(2

)( 220

2

nnn

r

rcrr

erKrg

Derivation (2D)

Closed form approximation:

]))1(1()1[(2

)( ])1(1[20

2 rerrKr

rg

Relating f (r,) to the power received

Flux model Density model

ddrdrrfr

sin),,(4

12

All photons absorbed pastdistance r, per unit area

),,(rf

All photons entering a sphere at distance r, per unit area

o

o

It is a simplified model

At each step a photon may turnin a random direction (i.e. power is scattered uniformly at each obstacle)

Validation

Classic approachClassic approachwave propagation in random media

Random walksRandom walks

Model with lossesModel with losses

ExperimentsExperiments

comparison

relates

analytic solutionanalytic solution

Transport theory numerical integration

plots in Ishimaru, 1978

Wandering Photon analytical results

r2 densityr2 flux sat

t

sW

0

Fitting the data

2

1

r 2

1

r

14.0

10.0

10.0

13.0

Power FluxPower Flux Power DensityPower Density

Fitting the data

dB

dB

dB

std

std

std

04.2

05.6

75.3

dashed blue line: wandering photon model

red line: power law model, 4.7 exponent

staircase green line: best monotone fit

The wandering photon

can do more

Random walks with echoes

Channel

impulse response of a urban wireless channel

Impulse response

dRRrpn ),(

1

),(n

trh

c

Rtf

n

R is total path length in n steps

r is the final position after n stepso

r

|r1||r2|

|r3|

|r4|

4321 rrrrR

Results

Varying absorption Varying pulse width

Results

Varying transmitter to receiver distance

time delay and time spread evaluation

.edu/~massimoWWW. .

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[email protected]

Papers:A random walk model of wave propagationM. Franceschetti J. Bruck and L. ShulmanIEEE Transactions on Antennas and Propagation to appear in 2004

Stochastic rays pulse propagationM. FranceschettiSubmitted to IEEE Trans. Ant. Prop.