Method and apparatus for modeling the propagation of wireless signals in buildings

• US 6,119,009 A
• Filed: 09/18/1997
• Issued: 09/12/2000
• Est. Priority Date: 09/18/1997
• Status: Expired due to Fees

• Current Assignee: Alcatel-Lucent USA, Inc. (Nokia Corporation)
• Original Assignee: Lucent Technologies, Inc. (Nokia Corporation)
• Inventors: Baranger, Harold Urey, Ullmo, Denis Jacques
• Primary Examiner(s): Eisenzopf, Reinhard J.
• Assistant Examiner(s): BANKS HAROLD, MARSHA DENISE
• Application Number:
  US08/933,493
• Time in Patent Office: 1,090 Days
• Field of Search: 455/422, 455/446, 455/507, 455/522, 455/525, 455/524, 455/504, 455/506, 455/67.1, 455/67.2, 455/67.3, 455/674, 455/67.6, 455/63, 455/65, 455/FOR 100, 324/644, 324/646
• US Class Current: 455/446
• CPC Class Codes: H04B 17/318 Received signal strength
• CPC Class Codes: H04B 17/391 Modelling the propagation channel
• CPC Class Codes: H04B 17/3913 Predictive models, e.g. based on neural network models
• CPC Class Codes: H04W 16/20 for indoor coverage or short range network deployment

Abstract

Techniques for predicting RF signal propagation in indoor environments are disclosed. A typical technique comprises six distinct phases. In one phase, the mean wall separation, d, of one floor of a building is estimated. In a second phase, a reflection coefficient, s, is estimated for the floor in general. In a third phase, a number of trial RF propagation measurements are made to gather empirical data about the RF propagation characteristics of the floor. In the fourth phase, the mean wall separation, d, the reflection coefficient, s, and the trial RF propagation measurements are fit, using well-known techniques, into a wireless propagation model, such as ##EQU1## where P(r) is the measured or predicted power at a distance, r, from the transmitter, ##EQU2## and ξ is the parameter that is fit to the empirical data. In the fifth phase the wireless propagation model is used to predict the RF signal strength throughout the floor from a base station at a given location, and in the six phase one or more base stations are installed in the building based on the results predicted by the wireless propagation model. The fifth and sixth phases can be thereafter repeated for other building with sufficiently similar characteristics.

Claims

1. A method for placing a wireless base station inside a building, said method comprising:

estimating a mean wall separation, d, for a floor of said building;

radiating a trial signal with a transmit power, P₀, from a transmitter;

measuring a received power P₁ of said trial signal at a distance, r₁, from said transmitter;

estimating a reflection coefficient, s, for said floor;

creating a wireless propagation model based on said mean wall separation, d, said transmit power, P₀, said received power P₁, said distance, r₁, said reflection coefficient, s, and on ##EQU31## wherein ##EQU32## and ξ

is a fit parameter; and

placing said wireless base station in said building at a location based on said wireless propagation model.

2. A method for placing a wireless base station inside a building, said method comprising:

estimating a mean wall separation, d, for a floor of said building;

radiating a trial signal with a transmit power, P₀, from a transmitter;

measuring a received power P₁ of said trial signal at a distance, r₁, from said transmitter;

estimating a reflection coefficient, s, for said floor;

creating a wireless propagation model based on said mean wall separation, d, said transmit power, P₀, said received power P₁, said distance, r₁, said reflection coefficient, s, and on ##EQU33## wherein ##EQU34## K₀ is a modified Bessel function and ξ

is a fit parameter ; and

placing said wireless base station in said building at a location based on said wireless propagation model.

3. A method for placing a wireless base station inside a building, said method comprising:

estimating a mean wall separation, d, for a floor of said building;

radiating a trial signal with a transmit power, P₀, from a transmitter;

measuring a received power P₁ of said trial signal at a distance, r₁, from said transmitter;

estimating a reflection coefficient, s, for said floor;

creating a wireless propagation model based on said mean wall separation, d, said transmit power, P₀, said received power P₁, said distance, r₁, said reflection coefficient, s, and on ##EQU35## wherein ##EQU36## and ξ

is a fit parameter; and

placing said wireless base station in said building at a location based on said wireless propagation model.

4. A method for placing a wireless base station inside a building, said method comprising:

estimating a mean wall separation, d, for a floor of said building;

radiating a trial signal with a transmit power, P₀, from a transmitter;

measuring a received power P₁ of said trial signal at a distance, r₁, from said transmitter;

estimating a reflection coefficient, s, for said floor;

creating a wireless propagation model based on said mean wall separation, d, said transmit power, P₀, said received power P₁, said distance, r₁, said reflection coefficient, s, and on ##EQU37## wherein ##EQU38## K₀ is a modified Bessel function and ξ

is a fit parameter; and

placing said wireless base station in said building at a location based on said wireless propagation model.

5. A building comprising one or more floors, with a wireless base station or stations being disposed on a given floor, with the number and location of said wireless base stations selected such that the signal from said wireless base station or stations has a power level essentially everywhere on said given floor above a threshold;

CHARACTERIZED BY

the number and location of said wireless base station or stations is based on a wireless propagation model that involves estimation of a mean wall separation, d, estimation of a mean reflection coefficient, s, for said given floor, said transmit power, P₀, said received power P₁, said distance, r₁, and on ##EQU39## wherein ##EQU40## and ξ

is a fit parameter.

6. A building comprising one or more floors, with a wireless base station or stations being disposed on a given floor, with the number and location of said wireless base stations selected such that the signal from said wireless base station or stations has a power level essentially everywhere on said given floor above a threshold;

CHARACTERIZED BY

the number and location of said wireless base station or stations is based on a wireless propagation model that involves estimation of a mean wall separation, d, estimation of a mean reflection coefficient, s, for said given floor, said transmit power, P₀, said received power P₁, said distance, r₁, and on ##EQU41## wherein ##EQU42## K₀ is a modified Bessel function and ξ

is a fit parameter.

7. A building comprising one or more floors, with a wireless base station or stations being disposed on a given floor, with the number and location of said wireless base stations selected such that the signal from said wireless base station or stations has a power level essentially everywhere on said given floor above a threshold;

CHARACTERIZED BY

the number and location of said wireless base station or stations is based on a wireless propagation model that involves estimation of a mean wall separation, d, estimation of a mean reflection coefficient, s, for said given floor, said transmit power, P₀, said received power P₁, said distance, r₁, and on ##EQU43## wherein ##EQU44## and ξ

is a fit parameter.

8. A building comprising one or more floors, with a wireless base station or stations being disposed on a given floor, with the number and location of said wireless base stations selected such that the signal from said wireless base station or stations has a power level essentially everywhere on said given floor above a threshold;

CHARACTERIZED BY

the number and location of said wireless base station or stations is based on a wireless propagation model that involves estimation of a mean wall separation, d, estimation of a mean reflection coefficient, s, for said given floor, said transmit power, P₀, said received power P₁, said distance, r₁, and on ##EQU45## wherein ##EQU46## K₀ is a modified Bessel function and ξ

is a fit parameter.

9. A method for placing a wireless base station inside a building, said method comprising:

estimating a mean wall separation, d_x, in a first direction for a floor of said building;

estimating a mean wall separation, d_y , in a second direction for said floor, wherein said second direction is orthogonal to said first direction;

estimating an interior reflection coefficient, s(θ

), for said floor, and wherein said wireless propagation model is also based on said reflection coefficient, s(θ

);

estimating an exterior reflection coefficient, B(θ

), for said floor;

radiating a trial signal with a transmit power, P₀, from a transmitter at a first location, x₀,y₀ ; and

measuring a received power P₁ of said trial signal at a second location, x₁, y₁ ;

creating a wireless propagation model based on said mean wall separation, d_x, in said first direction for said floor and said mean wall separation, d_y, in said second direction for said floor, said transmit power, P₀, said first location, x₀, y₀, said received power P₁, and said second location, x₁, y₁, wherein said wireless propagation model P(x,y,θ

), is based on the solution to the partial differential equation ##EQU47## wherein x₀, y₀ is the location of the transmitter, P(x, y, θ

) is the measured or predicted power at location x, y, propagating in the direction θ

with respect to the x-axis, δ

is the Dirac delta function, ##EQU48## and ξ

₁ is a fit parameter, with the boundary condition ##EQU49## wherein ##EQU50## and n is the unit vector normal to the boundary at the boundary point x,y;

placing said wireless base station in said building at a location based on said wireless propagation model.

10. A method for placing a wireless base station inside a building, said method comprising:

estimating a mean wall separation, d_x, in a first direction for a floor of said building;

estimating a mean wall separation d_y, in a second direction for said floor, wherein said second direction is orthogonal to said first direction;

estimating an interior reflection coefficient, s (θ

), for said floor, and wherein said wireless propagation model is also based on said reflection coefficient, s(θ

);

estimating an exterior reflection coefficient, B(θ

), for said floor;

radiating a trial signal with a transmit power, P₀, from a transmitter at a first location, x₀, y₀ ; and

measuring a received power P₁ of said trial signal at a second location, x₁,y₁ ;

creating a wireless propagation model based on said mean wall separation, d_x, in said first direction for said floor and said mean wall separation, d_y, in said second direction for said floor, said transmit power, P₀, said first location, x₀, y₀, said received power P₁, and said second location, x₁, y₁, wherein said wireless propagation model, P(x,y,θ

), is abased on the solution to the partial differential equation ##EQU51## wherein x₀, y₀ is the location of the transmitter, P(x,y,θ

) is the measured or predicted power at location x, y, propagating in the direction θ

with respect to the x-axis δ

is the Dirac delta function, ##EQU52## and ξ

₁ is a fit parameter, with the boundary condition ##EQU53## and n is the unit vector normal to the boundary at the boundary point x, y;

placing said wireless base station in said building at a location based on said wireless propagation model.

11. A method for placing a wireless base station inside a building, said method comprising:

estimating a mean wall separation, d_x, in a first direction for a floor of said building;

estimating a mean wall separation, d_y, in a second direction for said floor, wherein said second direction is orthogonal to said first direction;

estimating an interior reflection coefficient, s(θ

), for said floor, and wherein said wireless propagation model is also based on said reflection coefficient, s(θ

);

estimating an exterior reflection coefficient, B(θ

), for said floor;

radiating a trial signal with a transmit power, P₀, from a transmitter at a first location, x₀, y₀ ; and

measuring a received power P₁ of said trial signal at a second location, x₁, y₁ ;

creating a wireless propagation model based on said mean wall separation, d_x, in said first direction for said floor and said mean wall separation, d_y, in said second direction for said floor, said transmit power, P₀, said first location, x₀, y₀, said received power P₁, and said second location, x₁, y₁, wherein said wireless propagation model, P(x,y,θ

), is based on the solution to the partial differential equation;

##EQU54## x₀, y₀ is the location of the transmitter, P(x,y,θ

) is the measured or predicted power at location x, y, propagating in the direction θ

, δ

is the Dirac delta function, ##EQU55## and ξ

₁ and ξ

₂ are fit parameters, with the boundary condition ##EQU56## wherein ##EQU57## placing said wireless base station in said building at a location based on said wireless propagation model.

12. A method for placing a wireless base station inside a building, said method comprising:

estimating a mean wall separation, d_x, in a first direction for a floor of said building;

estimating a mean wall separation, d_y, in a second direction for said floor, wherein said second direction is orthogonal to said first direction;

estimating an interior reflection coefficient, s(θ

), for said floor, and wherein said wireless propagation model is also based on said reflection coefficient, s(θ

);

estimating an exterior reflection coefficient, B(θ

), for said floor;

radiating a trial signal with a transmit power, P₀, from a transmitter at a first location, x₀, y₀ ; and

measuring a received power P₁ of said trial signal at a second location, x₁, y₁ ;

creating a wireless propagation model based on said mean wall separation, d_x, in said first direction for said floor and said mean wall separation, d_y, in said second direction for said floor, said transmit power, P₀, said first location, x₀, y₀, said received power P₁, and said second location, x₁, y₁, wherein said wireless propagation model, P(x,y,θ

), is based on the solution to the partial differential equation;

##EQU58## wherein x₀, y₀ is the location of the transmitter, P(x,y,θ

) is the measured or predicted power at location x, y, propagating in the direction θ

, δ

is the Dirac delta function, ##EQU59## and γ

₁ and γ

₂ are fit parameters, with the boundary condition ##EQU60## placing said wireless base station in said building at a location based on said wireless propagation model.

13. A building comprising one or more floors, with a wireless base station or stations being disposed on a given floor, with the number and location of said wireless base stations selected such that the signal from said wireless base station or stations has a power level essentially everywhere on said given floor above a threshold;

CHARACTERIZED BY

a transmitter at a first location x₀, y₀ for radiating a trial signal with a transmit power, P₀ ; and

a signal strength detector for measuring a received power P₁ of said trial signal at a second location x₁, y₁ ;

the number and location of said wireless base station or stations is based on a wireless propagation model that involves estimation of a mean wall separation, d_x, in a first direction for said given floor and estimation of a mean wall separation, d_y, in a second direction for said given floor, estimation of a interior reflection coefficient, s(θ

), estimation of an exterior reflection coefficient, B(θ

), for said given floor, said transmit power, P₀, said first location x₀, y₀, said received power P₁, said second location x₁, y₁, and on the solution to the partial differential equation ##EQU61## wherein x₀, y₀ is the location of the transmitter, P(x,y,θ

) is the measured or predicted power at location x, y, propagating in the direction θ

with respect to the x-axis, δ

is the Dirac delta function, ##EQU62## and ξ

₁ is a fit parameter, with the boundary condition ##EQU63## and n is the unit vector normal to the boundary at the boundary point x, y.

14. A building comprising one or more floors, with a wireless base station or stations being disposed on a given floor, with the number and location of said wireless base stations selected such that the signal from said wireless base station or stations has a power level essentially everywhere on said given floor above a threshold;

CHARACTERIZED BY

a transmitter at a first location x₀, y₀ for radiating a trial signal with a transmit power, P₀ ; and

a signal strength detector for measuring a received power P₁ of said trial signal at a second location x₁, y₁ ;

the number and location of said wireless base station or stations is based on a wireless propagation model that involves estimation of a mean wall separation, d_x, in a first direction for said given floor and estimation of a mean wall separation, d_y, in a second direction for said given floor, estimation of a interior reflection coefficient, s(θ

), estimation of an exterior reflection coefficient, B(θ

), for said given floor, said transmit power, P₀, said first location x₀, y₀, said received power P₁, said second location x₁, y₁, and on the solution to the partial differential equation ##EQU64## wherein x₀, y₀ is the location of the transmitter, P(x,y,θ

) is the measured or predicted power at location x, y, propagating in the direction θ

with respect to the x-axis, δ

is the Dirac delta function, ##EQU65## and ξ

₁ is a fit parameter, with the boundary condition ##EQU66## and n is the unit vector normal to the boundary at the boundary point x, y.

15. A building comprising one or more floors, with a wireless base station or stations being disposed on a given floor, with the number and location of said wireless base stations selected such that the signal from said wireless base station or stations has a power level essentially everywhere on said given floor above a threshold;

CHARACTERIZED BY

a transmitter at a fist location x₀, y₀ for radiating a trial signal with a transmit power, P₀ ; and

a signal strength detector for measuring a received power P₁ of said trial signal at a second location x₁, y₁ ;

the number and location of said wireless base station or stations is based on a wireless propagation model that involves estimation of a mean wall separation, d_x, in a first direction for said given floor and estimation of a mean wall separation, d_y, in a second direction for said given floor, estimation of a interior reflection coefficient, s(θ

), estimation of an exterior reflection coefficient, B(θ

), for said given floor, said transmit power, P₀, said first location x₀, y₀, said received power P₁, said second location x₁, y₁, and on the solution to the partial differential equation;

##EQU67## wherein x₀, y₀ is the location of the transmitter, P(x,y,θ

) is the measured or predicted power at location x, y, propagating in the direction θ

, δ

is the Dirac delta function, ##EQU68## and ξ

₁ and ξ

₂ are fit parameters, with the boundary condition ##EQU69##

16. A building comprising one or more floors, with a wireless base station or stations being disposed on a given floor, with the number and location of said wireless base stations selected such that the signal from said wireless base station or stations has a power level essentially everywhere on said given floor above a threshold;

CHARACTERIZED BY

a transmitter at a first location x₀, y₀ for radiating a trial signal with a transmit power, P₀ ; and

a signal strength detector for measuring a received power P₁ of said trial signal at a second location x₁, y₁ ;

the number and location of said wireless base station or stations is based on a wireless propagation model that involves estimation of a mean wall separation, d_x, in a first direction for said given floor and estimation of a mean wall separation, d_y, in a second direction for said given floor, estimation of a interior reflection coefficient, s(θ

), estimation of an exterior reflection coefficient, B(θ

), for said given floor, said transmit power, P₀, said first location x₀, y₀, said received power P₁, said second location x₁, y₁, and on the solution to the partial differential equation;

##EQU70## wherein x₀, y₀ is the location of the transmitter, P(x,y,θ

) is the measured or predicted power at location, x, y, propagating in the direction θ

, δ

is the Dirac delta function, ##EQU71## and ξ

₁ and ξ

₂ are fit parameters, with the boundary condition ##EQU72##