35
Anders J Johansson, Department of Electrical and Information Technology [email protected] RADIO SYSTEMS – ETIN15 Lecture no: 29 March 2017 1 4 Channel models and antennas

Channel models - Lunds tekniska högskola

  • Upload
    others

  • View
    8

  • Download
    0

Embed Size (px)

Citation preview

Page 1: Channel models - Lunds tekniska högskola

Anders J Johansson, Department of Electrical and Information [email protected]

RADIO SYSTEMS – ETIN15

Lecture no:

29 March 2017 1

4Channel models

and antennas

Page 2: Channel models - Lunds tekniska högskola

29 March 2017 3

Contents

• Why do we need channel models?• Narrowband models

– Review of properties– Okumura’s measurements– Okumura-Hata model– COST 231-Walfish-Ikegami model

• Wideband models– Review of properties– COST 207 model for GSM– ITU-R model for 3G

• Antennas– Efficiency and bandwidth– Mobile station antennas– Base station antennas– Dipole and parabolic antennas

Page 3: Channel models - Lunds tekniska högskola

29 March 2017 4

WHY DO WE NEEDCHANNEL MODELS?

Page 4: Channel models - Lunds tekniska högskola

29 March 2017 5

Why do we need channel models?

During system design, testing and type approval:

Simple models reflecting the important propertiesof important channels (best, average, worst case)

During network design:

More detailed models appropriate for certaingeographical areas

Models used to make sure that the system designbehaves well in typical situations.

Models used to obtain an efficient network in termsof base station locations and other parameters

Page 5: Channel models - Lunds tekniska högskola

29 March 2017 6

Wideband vs. narrowbandTime vs. frequency

Page 6: Channel models - Lunds tekniska högskola

29 March 2017 7

NARROW-BANDMODELS

Page 7: Channel models - Lunds tekniska högskola

29 March 2017 8

Narrowband modelsReview of properties

Narrowband models contain ”only one” attenuation, which is modeledas a propagation loss, plus large- and small-scale fading.

Large-scale fading: Log-normal distribution (normal distr. in dB scale)

Small-scale fading: Rayleig, Rice, Nakagami distributions ... (not in dB-scale)

Path loss: Often proportional to 1/dn, where n is the propagation exponent. (n may be different at different distances)

NOTE: Several of these models are found in an on-line appendix of the textbook which can be downloaded from the publisher's website (see “Literature” on course web).

Printed copies of textbook appendices areallowed during Part B of the written exam.

Page 8: Channel models - Lunds tekniska högskola

29 March 2017 9

Okumura’s measurementsBackground

Extensive measurement campaign in Japan in the 1960’s.

Parameters varied during measurements:

FrequencyDistanceMobile station heightBase station heightEnvironment

100 – 3000 MHz1 – 100 km1 – 10 m20 – 1000 mmedium-size city, large city, etc.

Propagation loss is given as a median value (50% of thetime and 50% of the area).

Results from these measurements are displayed in figures7.12 – 7.14.

Page 9: Channel models - Lunds tekniska högskola

29 March 2017 10

Okumura’s measurementsHow to calculate the prop. loss

Free spaceattenuation

1. We start by calculating the free-space attenuation2. Apply a frequency and distance dependent correction3. Apply a BS-height and distance dependent correction

4. Apply a MS-height, frequency and environment dependent correction

Fig. 7.12 Fig. 7.13 Fig. 7.14

OkuL

Page 10: Channel models - Lunds tekniska högskola

29 March 2017 11

Okumura’s measurementsExample

Propagation at 900 MHz in medium-size citywith 40 m base station antenna height and1.5 m mobile station antenna height.

Use Okumura’s curves to calculate thepropagation loss at a distance of 30 kmbetween base station and mobile station.

Page 11: Channel models - Lunds tekniska högskola

29 March 2017 12

Okumura’s measurements1. Calculate free-space loss

Attenuation between twoisotropic antennas in freespace is (free-space loss):

The obtained value does not dependon antenna heights.

900 MHz and30 km distance

=> 121 dB

Page 12: Channel models - Lunds tekniska högskola

29 March 2017 13

Okumura’s measurements2. Apply correction for excess loss

Exce

ss lo

ss [d

B]

Frequency [MHz]

Dis

tanc

e [k

m]

These curves are only for hb=200 m

and hm=3 m

900 MHz and30 km distance

=> 36.5 dB

FIGURE 7.12

Page 13: Channel models - Lunds tekniska högskola

29 March 2017 14

Okumura’s measurements3. Apply correction of BS height

BS height [m]

Dis

tanc

e [k

m]

Cor

rect

ion

fact

or [d

B]

40 m BS and30 km distance

=> -16 dB

Note: Lower base station means INCREASING

attenuation => subtract this number.

FIGURE 7.13

Page 14: Channel models - Lunds tekniska högskola

29 March 2017 15

Okumura’s measurements4. Apply correction of MS height

MS height [m]Fr

eque

ncy

[MH

z]

Cor

rect

ion

fact

or [d

B]

Note: Lower mobile station means

INCREASING attenuation => subtract this number.

1.5 m MS and900 MHz inmedium-size city=> -3 dB

FIGURE 7.14

Page 15: Channel models - Lunds tekniska högskola

29 March 2017 16

Okumura’s measurementsSummary of example

Propagation loss (between isotropic antennas) usingOkumura’s measurements:

| 121 36.5 ( 16) ( 3) 176.5 dBOku dBL

Calc. step: 1 2 3 4

Page 16: Channel models - Lunds tekniska högskola

29 March 2017 17

The Okumura-Hata modelBackground

In 1980 Hata published a parameterized model, based on Okumura’smeasurements.

The parameterized model has a smaller range of validity thanthe measurements by Okumura:

FrequencyDistanceMobile station heightBase station height

150 – 1500 MHz1 – 20 km1 – 10 m30 – 200 m

Page 17: Channel models - Lunds tekniska högskola

29 March 2017 18

The Okumura-Hata modelHow to calculate prop. loss

Small/medium-size cities

Metropolitanareas

Suburbanenvironments

Rural areas

hb and hm

in meter

Page 18: Channel models - Lunds tekniska högskola

29 March 2017 19

COST 231-Walfish-Ikegami modelBackground

The Okumura-Hata model is not suitable for micro cells or smallmacro cells, due to its restrictions on distance (d > 1 km).

The COST 231-Walfish-Ikegami model covers much smallerdistances and is better suited for calculations on small cells.

FrequencyDistanceMobile station heightBase station height

800 – 2000 MHz0.02 – 5 km1 – 3 m4 – 50 m

Page 19: Channel models - Lunds tekniska högskola

29 March 2017 20

COST 231-Walfish-Ikegami modelHow to calculate prop. loss

0 msd rtsL L L L

BS

MS

d

Freespace

Roof-topto street

Building multiscreen

Details about calculations can be found in Appendix 7.B.

Page 20: Channel models - Lunds tekniska högskola

29 March 2017 21

WIDEBANDMODELS

Page 21: Channel models - Lunds tekniska högskola

29 March 2017 22

Wideband modelsReview of properties

Let’s assume the tapped delay-line model

The power-delay profile tells us how much energy the channel hasat a certain delay τ (essentially the rms values of the αi(t)’s).

The Doppler spectrum tells us how fast the channel changes in time(essentially how fast the αi(t)’s and θi(t)’s change). There can be oneDoppler spectrum for each delay.

Page 22: Channel models - Lunds tekniska högskola

29 March 2017 23

Wideband modelsCOST 207 model for GSM

The COST 207 model specifies:

FOUR power-delay profiles for differentenvironments.

FOUR Doppler spectra used for differentdelays.

IT DOES NOT SPECIFY PROAGATION LOSSES FOR THEDIFFERENT ENVIRONMENTS!

Page 23: Channel models - Lunds tekniska högskola

29 March 2017 24

Wideband modelsCOST 207 model for GSM

[ ]s

[ ]P dB0

10

20

300 1 [ ]s

[ ]P dB0

10

20

300 1 2 3 4 5 6 7

[ ]s

[ ]P dB0

10

20

300 5 10 [ ]s

[ ]P dB0

10

20

30100 20

Four specified power-delay profiles

RURAL AREA TYPICAL URBAN

BAD URBAN HILLY TERRAIN

Page 24: Channel models - Lunds tekniska högskola

29 March 2017 25

Wideband modelsCOST 207 model for GSM

Four specified Doppler spectra

max max0

,s iP

max max0

max max0 max max0

CLASS GAUS1

GAUS2 RICEShortestpath in

rural areas

,s iP

,s iP ,s iP

i≤0.5 s 0.5 si≤2 s

i2 s

Page 25: Channel models - Lunds tekniska högskola

29 March 2017 26

GAUS2GAUS1CLASS

Wideband modelsCOST 207 model for GSM

[ ]s

[ ]P dB0

10

20

300 1 [ ]s

[ ]P dB0

10

20

300 1 2 3 4 5 6 7

[ ]s

[ ]P dB0

10

20

300 5 10 [ ]s

[ ]P dB0

10

20

30100 20

RURAL AREA TYPICAL URBAN

BAD URBAN HILLY TERRAIN

Doppler spectra:

First tapRICEhere

Page 26: Channel models - Lunds tekniska högskola

29 March 2017 28

Wideband modelsITU-R model for 3GThe ITU-R model specifies:

SIX different tapped delay-line channels forthree different scenarios (indoor, pedestrian, vehicular).

TWO channels per scenario (one short and onelong delay spread).

TWO different Doppler spectra (uniform & classical),depending on scenario.

THREE different models for propagation loss (onefor each scenario).

The standard deviation of the log-normal shadowfading is specified for each scenario.

The autocorrelation of the log-normal shadowfading is specified for the vehicular scenario.

Page 27: Channel models - Lunds tekniska högskola

29 March 2017 29

Wideband modelsITU-R model for 3G

ns

Page 28: Channel models - Lunds tekniska högskola

29 March 2017 30

ANTENNAS

Page 29: Channel models - Lunds tekniska högskola

29 March 2017 31

AntennasEfficiency

The antenna efficiency measures “how efficiently” an antennaconverts the input power into radiation. This translates directlyinto power consumption and battery life.

Antenna efficiency of mobiles has decreased mainly due tocosmetic restrictions.

What cosmetic restrictions?

Page 30: Channel models - Lunds tekniska högskola

29 March 2017 32

AntennasBandwidth

We can say that the bandwidth of an antenna is the width ofthe frequency range over which it fulfills some specification.

Most cellular systems have a bandwidth requirement in therange of 10% of the carrier frequency.

Example: 900 MHz GSM needs an antenna that can transmit/receive well in a total bandwidth of about 100 MHz.

What happens when we have dual- (900/1800) or triple-band(900/1800/1900) GSM phones ... or phones with 3G, 4G, andBluetooth (2.4 GHz) as well?

It is difficult to make small and efficient broadband antennas!

Page 31: Channel models - Lunds tekniska högskola

29 March 2017 33

AntennasMobile station antennas

Monopole Helix Patch

Page 32: Channel models - Lunds tekniska högskola

29 March 2017 34

AntennasMobile station antennas

The efficiency depends on many parameters, but a very importantone is its environment. Below you can see differences in antennaefficiency for 42 test persons holding the mobile.

Up to around 10 dB difference, depending

on person.

Page 33: Channel models - Lunds tekniska högskola

29 March 2017 35

AntennasThe dipole antenna

[Figure from Ericsson Radio School documentation]

Page 34: Channel models - Lunds tekniska högskola

29 March 2017 36

AntennasThe parabolic antenna

Opening area:

Effective area:

Antenna gain:

3dB beamwidth: ≈200

Ga

[degrees] 25o

[Figure from Ericsson Radio School documentation]

Aeff ≈0.55A

A= d 2

4

Ga=4

2Aeff≈0.55

2 d 2

2

Page 35: Channel models - Lunds tekniska högskola

29 March 2017 37

Summary

• Narrowband models: Okumura´s measurements, Okumura-Hata, COST 231-Ikegami-Walfish. Mainly models for propagation loss. Fading has to be added.

• Wideband models: COST 207 for GSM & ITU-R for 3G. Mainly specification of power-delay profile and doppler spectrum (IRT-R also gives e.g. path loss).

• Antennas: Efficiency has decreased for mobile antennas. Antenna environment changes their properties. Some specific properties for dipole and parabolic antennas.