By Topic

A proposal for a mobile communication traffic forecasting method using time-series analysis for multi-variate data

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Akinaga, Y. ; Network Lab., NTT DoCoMo, Inc., Yokosuka, Japan ; Kaneda, S. ; Shinagawa, N. ; Miura, A.

In the present mobile network, the management of the radio resource to connect users and edge networks is an important issue. If there is a rapid rise in traffic coming into the network, regulation methods such as admission control or admission avoidance are the only way of dealing with this. Since it is beyond the mobile network system's capability to predict fluctuations in traffic for every area, there are great difficulties in realizing other control methods. In order to solve these problems, this paper proposes a method of forecasting traffic systematically based on the user's properties and information about the environment.

Published in:

Global Telecommunications Conference, 2005. GLOBECOM '05. IEEE  (Volume:2 )

Date of Conference:

28 Nov.-2 Dec. 2005