Communication fee prediction device, communication device, communication system, and charging method

Abstract

A communication fee prediction device including: a communication unit; a network load information management unit that collects and retains network load information of each base station through the communication unit; a user behavior history management unit that collects and retains positional information of a data communication terminal; and a fee prediction unit that estimates a later movement path of a data communication terminal, estimates a network load state when a data communication terminal passes through a base station on the estimated movement path, and predicts a communication fee according to a network load state of a base station that a data communication terminal is currently position registering and a communication fee according to a network load state of a base station on the estimated movement path, wherein a data communication terminal is notified of the current communication fee and the predicted value of a communication fee through the communication unit.

Description

technical field [0001] The present disclosure relates to a communication fee prediction device that predicts a communication fee charged to a data communication terminal that performs wireless communication, a communication device that performs communication by starting a communication application, a communication system in which a data communication terminal performs data communication, and a communication system that performs data communication using a network. A charging method in which data communication terminals for communication charge communication fees per unit of data. Background technique [0002] Although wide area networks such as the Internet or mobile phone systems are widely used, it is recognized that their traffic is not constant but varies according to time periods. For example, in Japan, the peak of Internet traffic is distributed between 19:00 and 23:00 for download as well as upload (for example, refer to http: / / www.soumu.go.jp / main_content / 000055966.pd...

AI Technical Summary

Problems solved by technology

However, although such a system is capable of suppressing the demand for communication and stabilizing the network during periods of network congestion, it is difficult to think that the system is directly used to reduce the change in the load of communication demand, i.e., to distribute traffic

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