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CSNDSP 2006 Iran Telecommunication Research Center 1 Flat Fading Modeling in Fixed Microwave Radio Links Based on ITU-R P.530-11 Iran Telecommunication Research Center (ITRC) Mehrbod Mohajer, Ramin Khosravi, Mehrnoosh Khabiri

CSNDSP 2006Iran Telecommunication Research Center1 Flat Fading Modeling in Fixed Microwave Radio Links Based on ITU-R P.530-11 Iran Telecommunication Research

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CSNDSP 2006 Iran Telecommunication Research Center 1

Flat Fading Modeling in Fixed MicrowaveRadio Links Based on ITU-R P.530-11

Iran Telecommunication Research Center (ITRC)

Mehrbod Mohajer, Ramin Khosravi, Mehrnoosh Khabiri

2Iran Telecommunication Research CenterICEE 2006

Outlines

Introduction Outage Calculation Fading Prediction in ITU-R P.530-11 Simulations Conclusion

3Iran Telecommunication Research CenterICEE 2006

Propagation Scenarios in LOS Point-to-Point Links

0452-01

Tropospheric scatter

Diffraction

Line-of-sight

0452-02

Hydrometeor scatter

Elevated layer reflection/refraction

Ducting

Line-of-sight with multipath enhancements

Link Design

4Iran Telecommunication Research CenterICEE 2006

What is the Problem? In multi path situation,

several rays with different delays and amplitudes are constructively or destructively added to the ray of direct or line-of-sight (LOS) path which introduce signal fluctuations.

If the signal falls below a certain point the link can be considered to be non functioning.

Outage

5Iran Telecommunication Research CenterICEE 2006

What can we do about it? We cannot possibly know all the details of the environment

through which the signal propagates.

We need to take a statistical view of the behaviour of the received field strength.

It is necessary to model the fading effects in such a way that a reasonable fade margin is obtained to achieve acceptable outage time.

Regarding to PTP links are used ashigh-availability links in the backboneof networks, the model should have thedetailed shape of low probability section of distribution.

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Which Model? Traditionally, the well-known lognormal

distribution is widely used in the fixed wireless system design procedure.

In order to evaluate the performance of high-availability links, a distribution fading model is required which can precisely present the deep fade depths probability distribution.

Conventional distributions can not provide the detailed shape of deep fade depths probability.

The ITU-R P.530-11 model derived from empirical measurements can perform this task excellently.

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All Important Propagation Standards

ITU-R P.530-11 (2005)

TIA-845: Radiowave

Propagation

ETSI: BRAN HIPERACCESS

IEEE 211-1997

IEC 60050-705

Why ITU-R P.530-11?

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Propagation Effects in ITU-R P.530

Fading

Multi-Hop Links

Rain Attenuation

XPD

Diffraction

Distortion

Variation in Angle of

Arrival/Launch

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Outlines

Introduction Outage Calculation Fading Prediction in ITU-R P.530-11 Simulations Conclusion

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Fade Margin Concept

Transmitter 1

Receiver 1

Splitter Splitter

Transmitter 2

Receiver 2

OutputPower (Tx)

Branching Losses

waveguide

Pro

paga

tion

Los

ses

Ant

enna

G

ain

Ant

enna

G

ain

Branching Losses

Receiver threshold Value

Fade Margin

11Iran Telecommunication Research CenterICEE 2006

Outage Time

t

RSL

Noise power threshold

Fade Margin

The real RSL value which

varies in time due to fading

processes.

The RSL value for a path subject

to Free-space and atmospheric

attenuation only.

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Improving Outage Time

t

RSL

Free-space and atmospheric

losses.

Noise power threshold

Fade Margin

By increasing the fade margin, we can improve the outage time.

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Outlines

Introduction Outage Calculation Fading Prediction in ITU-R P.530-11 Simulations Conclusion

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Fading Prediction in ITU-R P.530-11

Flat Fading Prediction For Small Percentage of Time

(Deep Fade Depths) For All Percentage of Time

(Shallow and Deep Fade Depths)

Selective Frequency Fading Prediction

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Flat Fading (Deep Fade Depth)

kmdkm 1855.7 GHzfMHz 37450 mradp 37

%101 1000085.0032.097.02.3

Ahf

pwL

Kdp

42.0003.09.3 110 adN sK

%101 10001.0033.02.10.3

Ahf

pwL

Kdp

10029.02.410 dNK dhh erp

mhm L 230017 kmNunitdNKmNunit /150/860 1 8506 as

Detailed Link Design Applications Quick Planning Applications

These relations were derived from multiple regressions on fading data for 251 links in various geo-climatic regions of the world with

16Iran Telecommunication Research CenterICEE 2006

Flat Fading (Shallow and Deep Fade Depths)

%10

1)0(

00085.0032.0

97.02.30

Lhf

pw KdApp

%10

1)0(

001.0033.0

2.10.30

Lhf

pw KdApp

dBpAt 0log2.125

%10 10/0

Aw pp %10 10/

0tA

t pp

%10exp1100 20/Aqw

ap

Detailed Link Design Applications Quick Planning Applications

)),,(),,(( AAqqApqfq tatttaa

AAt AAt Deep Fade Depths Shallow Fade Depths

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Outlines

Introduction Outage Calculation Fading Prediction in ITU-R P.530-11 Simulations Conclusion

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Simulations

Fade probability for ITU-R P.530-11

and Lognormal models

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PDF of the ITU-R P.530-11 model

Deep fade depths probability Shallow fade depths probability

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Simulations

BER of QPSK modulation with various channel

models

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Conclusion The outage calculation and fade margin concept are

reviewed. The prediction methods of multi-path fading are

introduced based on ITU-R P.530-11 standard. The ITU-R P.530-11 model is more accurate in

comparison to the conventional models like Lognormal model.

It is shown that using the theoretical lognormal model instead of empirical ITU-R model will cause to overestimation or underestimation in link design calculations.Therefore, p

lease use ITU-R

P.530

model in your li

nk design

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Any Question?

Thanks For Being Such a Good Audience