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Path-loss and Shadowing (Large-scale Fading)

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(1)

Path-loss and Shadowing (Large-scale Fading)

PROF. MICHAEL TSAI 2011/10/20

(2)

Friis Formula

TX Antenna

EIRP=



Power spatial density 



41

×

×

RX Antenna

⇒ =  4

2

(3)

Antenna Aperture

Antenna Aperture=Effective Area

Isotropic Antenna’s effective area ,

Isotropic Antenna’s Gain=1

•  =  

Friis Formula becomes:  =  !  = !

3

 =   4

(4)

Friis Formula



!  is often referred as “Free-Space Path Loss” (FSPL)

Only valid when d is in the “far-field” of the transmitting antenna

Far-field: when ! > !#, Fraunhofer distance

!# = $, and it must satisfies !# ≫ $ and !# ≫ 

D: Largest physical linear dimension of the antenna

&: Wavelength

We often choose a !' in the far-field region, and smaller than any practical distance used in the system

Then we have  ! =  !' !!

'



 =   

! 

4

(5)

Received Signal after Free-Space Path Loss

 = (   )* − ,!

! -. )* ,#/

phase difference due to propagation distance

Free-Space Path Loss

Complex envelope

Carrier (sinusoid)

5

(6)

Example: Far-field Distance

Find the far-field distance of an antenna with

maximum dimension of 1m and operating frequency of 900 MHz (GSM 900)

Ans:

Largest dimension of antenna: D=1m

Operating Frequency: f=900 MHz

Wavelength:  = #/ = 3''×1'0×1'24 = '. 00

• !# = 6 = '.00 = 4. '4 (m)

6

(7)

Example: FSPL

If a transmitter produces 50 watts of power, express the transmit power in units of (a) dBm and (b) dBW.

If 50 watts is applied to a unity gain antenna with a 900 MHz

carrier frequency, find the received power in dBm at a free space distance of 100 m from the antenna. What is the received power at 10 km? Assume unity gain for the receiver antenna.

Ans:

1' 8-1' 9' = 1: !;< = : =>?

Received Power at 100m

(1''A) = 9' × 1 × 1 × 0 × 1'3'' × 1'2 4



 × 1''  = 0. 9 × 1'C4 <

= −9. 9 (!;<)

Received Power at 10km

 1'DA =  1''A 1'' 1''''



= 0. 9 × 1'C1' <

= −3. 9 (!;<) 7

(8)

Two-ray Model

TX Antenna

 E

F

G G′

RX Antenna ℎ



J

K

L

M

N CJO P = QR &

4

JLST P exp − X2F&

F + Q KMST P − [ exp − X2 G + G& \

G + G\ exp X2]KP

Delayed since x+x’ is longer. [ = (G + G\ − F)/_

R: ground reflection coefficient (phase and amplitude change) 8

(9)

Two-ray Model:

Received Power

•  =    `8a + /!)d)\)* C,bc 

The above is verified by empirical results.

• bc = () + )\ − 8)/

• ) Z )\ + 8  e Z e  Z ! + e + e  Z !

9

l x

x’

x’

x

(10)

Two-ray Model: Received Power

When ! ≫ e + e, bc =  )d) fC8 e!e

For asymptotically large d, ) + )\ ≈ h ≈ !, E ≈ ',

ijik ≈ /!, l ≈ −1 (phase is inverted after reflection)

`a

8 + /!)d)\)* C,bc  !`a  1 + )* −,bc 

1 + )* −,bc  = 1 − / bc  + mbc =  −

nop bc = m(bc ) ≈ bc

  !`a  e!e  qr = `!ae e  qr

10

Independent of & now

(11)

11

K = 4ℎ

&



Could be a natural choice of cell size

(12)

Indoor Attenuation

Factors which affect the indoor path-loss:

Wall/floor materials

Room/hallway/window/open area layouts

Obstructing objects’ location and materials

Room size/floor numbers

Partition Loss:

12

Partition type Partition Loss (dB) for 900-1300 MHz

Floor 10-20 for the first one,

6-10 per floor for the next 3, A few dB per floor afterwards.

Cloth partition 1.4

Double plasterboard wall 3.4

Foil insulation 3.9

Concrete wall 13

Aluminum siding 20.4

All metal 26

(13)

Simplified Path-Loss Model

Back to the simplest:

s: reference distance for the antenna far field (usually 1-10m indoors and 10-100m outdoors)

t: constant path-loss factor (antenna, average channel attenuation), and sometimes we use

u: path-loss exponent

13

 = t s



v

t = &

4s

(14)

Some empirical results

14

Measurements in Germany Cities

Environment Path-loss

Exponent

Free-space 2

Urban area cellular radio 2.7-3.5 Shadowed urban cellular

radio

3-5

In building LOS 1.6 to 1.8 Obstructed in building 4 to 6 Obstructed in factories 2 to 3

(15)

Empirical Path-Loss Model

Based on empirical measurements

over a given distance

in a given frequency range

for a particular geographical area or building

Could be applicable to other environments as well

Less accurate in a more general environment

Analytical model: / is characterized as a function of distance.

Empirical Model: / is a function of distance including the effects of path loss, shadowing, and multipath.

Need to average the received power measurements to remove multipath effects  Local Mean Attenuation (LMA) at distance d.

15

(16)

Example: Okumura Model

Okumura Model:

w ! !; = w #/, ! + x #/, ! −  e −  e − (y

w #/, ! : FSPL, x #/, ! : median attenuation in addition to FSPL

 ℎ = 20 log~s( ss€ ) ,  ℎ   10 log~s ƒ‚ , ℎ ≤ 3†, 20 log~s ƒ‚ , 3† < ℎ < 10†.

:antenna height gain factor.

(y: gain due to the type of environment

16

(17)

Example: Piecewise Linear Model

N segments with N-1

“breakpoints”

Applicable to both

outdoor and indoor channels

Example – dual-slope model:

t: constant path-loss factor

u~: path-loss exponent for s~K

u : path-loss exponent after K 17

  = t s



v‰

t K



v‰ 

K

v

s „  „ K,

 " K.

(18)

Shadow Fading

Same T-R distance usually have different path loss

Surrounding environment is different

Reality: simplified Path-Loss Model represents an

“average”

How to represent the difference between the average and the actual path loss?

Empirical measurements have shown that

it is random (and so is a random variable)

Log-normal distributed

18

(19)

Log-normal distribution

A log-normal distribution is a probability distribution of a random variable whose logarithm is normally

distributed:

G: the random variable (linear scale)

—, ˜ : mean and variance of the distribution (in dB)

19

]™ G; —, ˜ = 1

G˜ 2exp − log G − —

logarithm of the random variable

normalized so that the integration of the pdf=1

(20)

Log-normal Shadowing

Expressing the path loss in dB, we have

›œ: Describes the random shadowing effects

›œ~(', œ)

(normal distribution with zero mean and œ variance)

Same T-R distance, but different levels of clutter.

Empirical Studies show that œ ranges from 4 dB to 13dB in an outdoor channel

20

ž  Ÿ = ž  +  ¡ = ž s + 10u log 

s +  ¡

(21)

Why is it log-normal distributed?

Attenuation of a signal when passing through an object of depth d is approximately:

¢: Attenuation factor which depends on the material

If £ is approximately the same for all blocking objects:

 = ∑ ¥ ¥: sum of all object depths

By central limit theorem, ! ~(x, œ) when the number of object is large (which is true).

21

¦  = exp −¢

¦  = exp −¢ § ¥

¥

= exp −¢

(22)

Path Loss, Shadowing, and Multi-Path

22

(23)

Cell Coverage Area

Cell coverage area: expected percentage of locations within a cell where the received power at these

locations is above a given minimum.

23

Some area within the cell has received

power lower than

¥¨ Some area outside of

the cell has received power higher than

¥¨

(24)

Cell Coverage Area

We can boost the transmission power at the BS

Extra interference to the neighbor cells

In fact, any mobile in the cell has a nonzero

probability of having its received power below Am.

Since Normal distribution has infinite tails

Make sense in the real-world:

in a tunnel, blocked by large buildings, doesn’t matter if it is very close to the BS

24

(25)

Cell Coverage Area

Cell coverage area is given by

 ≐ *   > Am

25

© = y 1

( ª 1   > Am m ! !

/88 ``

= 1

( ª y 1   > Am m ! !

/88 ``

1 if the statement is true, 0 otherwise.

(indicator function)

© = 1

( ª !

/88 `` = 1

( ª ª ( 

' !



'

(26)

Cell Coverage Area

Q-function:

26

¬ = ­ ® N ≥  ¥¨ = ° ¥¨ −  − ž N

˜

° ± ≐ ­   > ± = ª 1 2

²

³

exp −´

2 ´

Log-normal distribution’s standard deviation

z

(27)

Cell Coverage Area

Solving the equations yield:

` = AmCœ  ( , a = 1'µ8-œ1' 

If Am =  (

27

¶ = ° · + exp 2 − 2·¸

¸ ° 2 − ·¸

¸

average received power at cell boundary (distance=R)

¶ = 1

2+ exp 2

¸ ° 2

¸

(28)

Example

Find the coverage area for a cell with

a cell radius of 600m

a base station transmission power of 20 dBm

a minimum received power requirement of -110 dBm.

path loss model: () = t MM¹ v, u = 3.71, t = −31.54 Ÿ, s = 1, shadowing standard deviation ˜ = 3.65 dB

Ans:

 ( = ' − 01. 9 − 1' × 0. :1 × 8-1' 4'' = −11. 4 !;A

` = C11'd11.40.49 = 1. 4, a = 1'×0.:1×'.0

0.49 = . 1

© = ¾ 1. 4 + )* −'. 4 ¾ −'. 2': = '. 4 (not good)

If we calculate C for a minimum received power requirement of -120 dBm

C=0.988!

28

¶ = ° · + exp 2 − 2·¸

¸ ° 2 − ·¸

¸

` = AmC (

œ , a = 1'µ8-1' 

œ

(29)

Example: road corners path loss

29

5 m 40 m

10 m Radio: Chipcon CC2420

IEEE 802.15.4, 2.4 GHz TX pwr: 0 dBm

8 dBi peak gain omni-directional antenna

Intel-NTU Connected Context Computing Center

(30)

Compare the path-loss exponent of three different locations:

1. Corner of NTU_CSIE building 2. XinHai-Keelong intersection 3. FuXing-HePing intersection

Link Measurements –

Path loss around the corner building

30

(31)

1 2 3 Passing-by

vehicles

Occasionally Frequently Frequently Buildings

Around

No Few

buildings

Some high buildings Intersection Narrow Wide Wide

31

(32)

Doppler Effect

Difference in path lengths bh = ! /« = ¿br nop«

Phase change bc = bh = ¿br nop«

Frequency change, or Doppler shift,

#! = 1

 bc

br = ¿

 /«

32

(33)

Example

Consider a transmitter which radiates a sinusoidal carrier frequency of 1850 MHz. For a vehicle moving 60 mph, compute the received carrier frequency if the mobile is moving

1. directly toward the transmitter.

2. directly away from the transmitter

3. in a direction which is perpendicular to the direction of arrival of the transmitted signal.

Ans:

Wavelength=& = ÀK

Á = ~ÃÄs×~sƒ×~s Š= 0.162 (†)

Vehicle speed Æ  60†­ℎ  26.82 È 1. ]M  É.à s.~É cos 0  160 ʱ

2. ]M  É.à s.~É cos  +160 (ʱ)

3. Since cos Ë  0, there is no Doppler shift!

33

#!  1

 bc

br  ¿

 /«

(34)

Doppler Effect

If the car (mobile) is moving toward the direction of the arriving wave, the Doppler shift is positive

Different Doppler shifts if different « (incoming angle)

Multi-path: all different angles

Many Doppler shifts  Doppler spread

34

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