aalto giga final results promotion 29.3.2011 kalevi kilkki

Project results: Aalto University

Kalevi KilkkiDocent

Giga Final Results Promotion29.3.2011

Mobile Internet Usage K. Kilkki

GigaFinal Results Promotion29.3.2011

Outline

• Giga at Aalto University• Mobile Internet Usage –projects• Result highlights

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Giga projects at Aalto University

• RF and antennas – Advanced Techniques for RF Impairment Mitigation in Future (R. Wichman, 2008-10)– Adaptation of Antennas to Usage Environments (C. Icheln, 2008-10)– Home Base Station: An Emerging Network Paradigm (J. Hämäläinen, 2009-12)– Millimetriaaltoalueen mikropiirien suunnittelu pii-teknologioilla (K. Halonen, 2006-08)

• Networks– Multiaccess Experimentations in Real Converging Networks (M. Ranta, 2006-08)– Trustworthy Internet: Overlay Infrastructure for Trusted Computing and Communications

(M. Mäntylä, 2006-09)– Future Mobility Middleware (M. Mäntylä, 2006–07)– Interconnected Broadband Home Networks (A. Ylä-Jääski, 2006-08)– Langattomien liityntäverkkojen haasteet (P. Lassila, 2009-11)– Tietoverkot 2020 (O. Tirkkonen, 2009-12)

• Other topics– Energy-efficient electric lightning for buildings (L, Halonen, 2006-09)– Prosessiautomaation agenttipohjaiset informaatiopalvelut (T. Pirttioja, 2006-07)– Meriteollisuuden toimijaverkoston suorituskyvyn mittaaminen (J. Kujala, 2006-08)– Proaktiivinen logistiikka (K. Tanskanen, 2006-08)– Kosteusmittauksen taloudellinen merkitys rahoitushankkeessa (T. Merikallio, 2006-08)

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Mobile Internet Usage

• Series of 3 projects– Dynamics of Competition and Innovation in the converging

Internet and mobile networks (COIN, 2006-07)– Modeling of Mobile Internet Usage and Business

(MoMI, 2008-09) – MoMI II (2010)

• Why a series?– Extremely complex and diverse environment – Long series of data are needed for credible scientific results

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Industrial partners (1- 5 years)

• Accenture• Ainacom• Digita• DNA• Elisa• Ministry of Transport and Communications• Nokia• Sanoma• TeliaSonera• Yle

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Main results

• Techno-economic modeling– Fixed WiMAX networks– Virtual operator models and strategies– DVB-H –based mobile television

• Method development– Forecasting the diffusion of mobile handset features– Framework for analyzing mobile service usage– Scenario planning

• Scientific achievements– 1 doctoral thesis, (at least) two dissertations 2011– 10 journal articles– 18 conference papers

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GigaFinal Results Promotion29.3.2011 7

Comprehensive view on mobile service usage

MoMIE RESEARCH:

• Surveys on handset panel• Handset monitoring • Mobile operator

accounting systems• IP traffic measurements

HANDSET POPULATION



• Mobile operators’ accounting systems– Data from end of Q3 2005–2010– Feature information from GfK and public sources

• Represents 80-99% of mobile terminals used in Finnish mobile networks annually– Data from Dna, Elisa, and TeliaSonera– Includes (almost) all mobile terminals observed at

operators’ network

Data collection: handset population



Fragmentation of handset population

0 %

20 %

40 %

60 %

80 %

100 %

1 10 100 1000

20052010

Cumulative share of handsets

Top 400 models33



• Many features close to saturation

– Low-end population limits penetration

• HTML capable browser almost 50% of devices (2010)

– Further evolution?

Many features with high penetration

N = 4-6.6 Millions Upper and lower error margins presented with

0 %

20 %

40 %

60 %

80 %

100 %

BLUETOOTH COLOR DISPLAY

HTML BROWSER

JAVA EMAIL CAMERA MMS

Penetration of handset features in Finland

2005 2006 2007 2008 2009



• A new approach for planning and forecasting the diffusion of new product features– Generally applicable, mobile handsets as an example

• Unique combination of unit sales and base data– Monthly unit sales of all handset models in Finland (GfK)– Yearly installed bases of all handset models in Finland– Yearly discards calculated based on the previous– Handset lifetime estimated based on sales and discards

• Enables accurate estimation of replacement process

Scientific contribution



0 %

20 %

40 %

60 %

80 %

100 %

BLUETOOTH COLOR DISPLAY

HTML BROWSER

JAVA EMAIL CAMERA MMS

Penetration of handset features in Finland

2005 2006 2007 2008 2009

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Predictions based on data and scenarios

§

Scenarios for feature (HTML)penetration among handsets sold

⇒ Diffusion = penetration amonghandsets in use

FastEstimation based on dataSlow



• Successful business requires insight in user behavior

• Research continues in MoMIE• Modeling of Mobile Internet Ecosystem• Topics include

• effect of terminal properties on mobile data usage

Summary

aalto giga final results promotion 29.3.2011 kalevi kilkki

Technology