Authors:
Chanwoo Cho
and
Sungjoo Lee
Affiliation:
Ajou University, Korea, Republic of
Keyword(s):
Mobile Traffic, Forecast, Smart-Phone, Smart-TV, PC, Patterns of Use.
Related
Ontology
Subjects/Areas/Topics:
Data Communication Networking
;
Data Services Management
;
Telecommunications
;
Traffic Measurement, Analysis, Modeling and Visualization
;
Ubiquitous Communication Networks
Abstract:
During many years, the dominant traffic in mobile broadband networks was voice. However, with the introduction of diverse mobile broadband equipment, the situation has changed. Since mobile broadband devices can allow users to access information instant and connect to web quickly, the mobile world has been revolutionized, where global mobile data traffic has been increasing dramatically. And the changes in the patterns of usage for mobile devices have started to cause traffic jams on the mobile broadband networks. As a result, forecasting the future traffic needs is in urgent need to provide high-quality mobile broadband services. To meet this need, this research aims to suggest a new forecasting method for future mobile broadband traffic. For the purpose, three-round Delphi survey was conducted to identify devices and applications that would affect in the future mobile broadband traffic, and their expected growth rates of users and changes in the patterns of use for each device. Th
en the total amount of mobile broadband traffic was forecasted based on survey results. The research results are expected to provide the basic research data for a further study.
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