Policy on Intellectual Property Right (IPR)
1 Introduction
2 Related ITU-R Recommendations and Reports
3 Trends impacting traffic estimation beyond 2020
3.1 Drivers
3.2 Shifting demography
3.2.1 Migration to cities and increased urbanisation
trend
3.2.2 Connected society
4 Mobile device proliferation
4.1 Statistical information
4.2 Estimations of global number of mobile subscriptions to 2030
4.2.1 Estimation 1
4.2.2 Estimation 2
5 Global IMT traffic estimations to 2030
5.1 Estimation 1
5.2 Estimation 2
5.3 Estimation 3
6 Traffic asymmetry
6.1 Description of traffic asymmetry
6.2 Examples of traffic asymmetry
6.3 Traffic asymmetry volumes in recent years
6.4 Traffic asymmetry estimation to 2024
6.5 Traffic asymmetry analysis in the space and time domains
7 Conclusions
Annex 1 Examples of basic estimation methods
Annex 2 Country-specific information
A2.1 China
A2.1.1 Personal device forecast for China
A2.1.2 M2M Subscriptions in China
A2.1.3 Estimates of mobile subscriptions in China
A2.1.4 Mobile traffic estimations in China
A2.1.5 Mobile traffic estimation in large cities or
hot-spot areas
A2.2 Republic of Korea
A2.2.1 Impact of IMT-Advanced on traffic growth
A2.2.2 Mobile subscriptions by technologies
A2.2.3 Mobile traffic by technologies
Annex 3 Some examples of subscribers’ traffic profiles
Annex 4 Traffic characteristics of future applications supported by IMT
A4.1 Introduction
A4.2 Voice and data applications
A4.3 Multimedia applications
A4.4 Internet of things and machine-to-machine applications
A4.5 Ultra-reliable and low latency applications
A4.6 New applications