comparison of the average global exposure of a population ......france 3g network key performance...

Comparison of the average global

exposure of a population induced by a

macro 3G network in urban, suburban

and rural areas

Y. Huang(1,2,3), A. Krayni(1,2), A. Hadjem(1,2), J. Wiart (1,2), C. Person(2,3) and N. Varsier(1,2)

(1) Orange, Issy les Moulineaux, France

(2) Whist Lab, common laboratory between Institut Mines-Telecom and Orange, France

(3) Institut Mines-Telecom Telecom Bretagne, Brest, France

Speaker : Yuanyuan HUANG

recherche & développement

Plan

Study purpose

European FP7 Project LEXNET :Exposure Index (EI)

Analysis of mobile usage

Network traffic planning tool

Average global exposure of a population

Conclusion

Perspectives


What is the purpose of the study

Moving from individual to population

exposure

Moving from maximum assessment to

real life quantification

Moving from one link exposure to

both downlink and uplink exposure

Base stations

Wireless handheld devices

Uplink

exposure

Downlink

exposure

1 URSI AT-RASC 2015


European FP7 Project LEXNET : Low EMF Exposure Future Network

9 countries 17 partners

LEXNET Objectives: Minimizing the Human

population EMF exposure

• Defining of a global exposure metric named

Exposure Index (EI) covers the day-to-day

exposure of a population in a given area incurred

by entire wireless network from base stations to

individual devices

• Investigating and prosing architecture and

effective mechanisms reduce EMF human

exposure without compromising quality of

services

Duration: November 2013 ‒ October 2015

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The Exposure Index (EI), a new RF exposure metric

The EI chain of exposure

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Mathematical expression of EI

Life Segmentation Data

Up-to-date life segmentation surveys collected in the different participated countries were used

4

ICT Usage Data are obtained through measurements of Key

Performance Indicators (KPIs) by sensors inside

the network

Reference SAR Data provided by numerical 3D

electromagnetic SAR simulation softwares using anatomical

human body models.

Tx and Rx Network traffic planning

tools: ASSET and Odyssee tools

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Traffic measurement probe

Radio Network controller

Structured Query Language

France 3G network

Key Performance Indicator

Analysis of mobile usage: data from 3G Orange Network

• Covered area

-- urban, suburban, rural

• Types of data

-- voice, data traffic, Sms, Mms

• Registration duration

-- one week in Nov. 2013

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Segmentation of mobile usage: user profiles

Heavy users:

top users consuming 80% of the

total data (% of total data >> % of

users)

Moderate users:

users consuming 15% of the total

data (% of total data ≈ % of users)

Light users:

users consuming 5% of the total

data (% of total data


Segmentation of mobile usage: summary of user profiles

Orange France 3G network

Rural Suburban Urban Aggregation

tcom voldata [MB]

tcom voldata [MB]

tcom voldata [MB]

tcom voldata [MB]

Heavy

users

33min 103 31min 71 27min 68 29min 73

Moderate

users

4min 9 6min 8 4min 5 5min 7

Light

users

42s 0,5 71s 0,8 41s 0,3 53s 0,5

Rural: Same average communication time compared to

other types of areas but highest volume data exchanges!

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Network traffic simulations: Input/Output

Network

traffic

planning

tool

Output: Average UL power and average DL power density in the considered

geographical areas:

• Tx Power for a phone call usage

• Tx Power for a data usage

• Rx Power density

𝑃 𝑇𝑋_indoor_voice_day

𝑃 𝑇𝑋_indoor_voice_night

𝑃 𝑇𝑋_outdoor_voice_day

𝑃 𝑇𝑋_outdoor_voice_night

𝑃 𝑇𝑋_indoor_data_day

𝑃 𝑇𝑋_indoor_data_night

𝑃 𝑇𝑋_outdoor_data_day

𝑃 𝑇𝑋_outdoor_data_night

𝑆 RXinc_indoor_day

𝑆 RXinc_indoor_night

𝑆 RXinc_outdoor_day

𝑆 RXinc_outdoor_night

Input

Population density

Repartition of the profile users

(heavy%, moderate%and light%)

Traffic usage (tcom&voldata) during

the day and night for each profile

user

Macro 3G Network in the

considered area

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Network traffic planning tools

A multi-systems simulator for radio network can evaluate:

• Quality of radio network: ex. coverage

• QoS: ex. good communication probability

• Tx³ et Rx⁴ powers

Simulator operating on real data:

• geographical area

• network environment

• density of traffic

• propagation models

High Resolution map data (colors gradient base on height)

Traffic raster data with resolution 25 meters

Propagation

3G network environment

[3] Tx power, power emitted by the mobile phone

[4] Rx power, power received by the mobile phone from base stations 9 URSI AT-RASC 2015


Macro 3G Orange network in urban suburban and rural areas

Urban area: Lyon central city

Population Density :10369 habs/km

53 sites corresponding to 154 cells in

the study area of 14 km²

Population category Percentage

(France)

Children (-15 y.o) 13,9%

Young people (15 – 29

y.o)

32,8%

Adults (30 – 59 y.o) 38,2%

Seniors (+60 y.o) 15,1%

10

Suburban area: Cergy city

Population Density :5404 habs/km²

34 sites corresponding to 90 cells in



(France)


Young people (15 –

29 y.o)

31,4%

Adults (30 – 59 y.o) 39,1%

Seniors (+60 y.o) 7,3%

Rural area: rural area near Metz

Population Density :2851 habs/km²

25 sites coresponding to 62 cells in



(France)


Young people (15 – 29 y.o) 28,1%

Adults (30 – 59 y.o) 38,8%

Seniors (+60 y.o) 17%

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EI evaluation: suburban macro 3G scenarios

11

Indoor Day

time Rx

Tx data

Tx voice

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Cergy city

Life segmentation and ICT usage

• 2 time periods: day 8am – 6 pm / night 6pm – 8am

• 4 categories of population: children, young people,

adults, seniors

• Surveys: time spend indoor/outdoor per population

category

• Surveys: proportions of users/non-users of mobile

phones per population category

• Hypothesis: Proportions of heavy, moderate and light

users per population category

• Usage: 70% indoor/ 30% outdoor; 40% of the 3G

connections; 35% as the Orange subscribers percent

of total market

• Heavy, moderate and light usage of mobile phones

Tx/Rx powers

SAR reference values

Whole-body SAR induced by mobile phones and by macro

base stations for adult and child for different postures

(standing and sitting) and 2 different usages (voice and

data).


time period

Life segmentation data

Percentages of

usages

Mobile usages

EI integration on the urban, suburban and rural 3G macro scenarios

EMF exposure values

Average global exposure

of a population

15

Tx/Rx

EIWBSAR

[W/kg]

France %UL

exposure

Urban 3,36e-7 92%

Suburban 2,01e-7 89%

Rural 1,90e-7 98%

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Exposure Index Equation

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Conclusion

User profiles depend on the considered geographical area, small

differences exist among them

We evaluated the average exposure of a population to EMF induced

by a 3G macro network in three different geographical areas (dense

urban, suburban and rural), with respect to different user profiles

EI calculated for the population in urban area is the highest

Uplink exposure has important weight to the global exposure for a

3G network

Downlink exposure in urban area is important because of the high

base stations density

URSI AT-RASC 2015 13


Perspectives

Many data collected from other countries reflecting ICT usages of

the population and of technologies

The aim of evaluate EI is to use it as a KPI for network optimization

in terms of both downlink and uplink exposures to EMF.

We can compare cities, populations and technologies by evaluating

EI

-- collaborative assessment with Lexnet partners

14 URSI AT-RASC 2015

Thank you for your attention

comparison of the average global exposure of a population ......france 3g network key performance...

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