USER BEHAVIOUR MONITORING USING MOBILE PHONES TO IMPROVE 5G SERVICES AND PERFORMANCE

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International Journal on Smart Sensing and Intelligent Systems

Professor Subhas Chandra Mukhopadhyay

Exeley Inc. (New York)

Subject: Computational Science & Engineering, Engineering, Electrical & Electronic

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VOLUME 9 , ISSUE 3 (September 2016) > List of articles

USER BEHAVIOUR MONITORING USING MOBILE PHONES TO IMPROVE 5G SERVICES AND PERFORMANCE

Zhihao Cui / Jize Yan

Keywords : Mobile Phone, 5G, User Behaviour, Cloud Sensing, Wi-Fi, WWAN, Data Analysis.

Citation Information : International Journal on Smart Sensing and Intelligent Systems. Volume 9, Issue 3, Pages 1,189-1,219, DOI: https://doi.org/10.21307/ijssis-2017-914

License : (CC BY-NC-ND 4.0)

Received Date : 03-June-2016 / Accepted: 05-July-2016 / Published Online: 01-September-2016

ARTICLE

ABSTRACT

4G has been widely commercialised, and 5G is currently under development. The expected
data bandwidth for 5G is 100 times faster than 4G and 500 times faster than 3G; however, the evolution
of telecommunication technologies involves both a boost in speed and the enhancement of user
experience. The key word used to describe 5G is ‘user-centric’, rather than ‘service-centric’ for 4G, and
thus user behaviours of mobile data usage should be further investigated. On the other hand, the
testing equipment currently being used for base stations is limited to hardware devices, such as
spectrum analysers and power meters. These testing methods do not include the considerable potential
variations in data demands due to changes in user behaviours, which could be resolved by presuming
that all data resources could be dynamically allocated by real-time events.
A complete system has been designed and implemented in this study to investigate current user
behaviours regarding mobile data usage. The system consists of three individual parts, including a user
iOS application, a web server and an administrative iOS application. Ten devices were tested within the two-month data collection period. Although the sample size was too small to produce any statistical results, it was found that data usage behaviours differ from user to user, with the exception of using
more than 10 times the Wi-Fi over WWAN data at all times. The data also proved that some of the
usage case families, which are described in the NGMN 5G white paper, do have strong demands, which
could not be fulfilled using current telecommunication technologies due to technological gaps.
This paper shows that the system proposed is a feasible method to investigate user behaviours of mobile
data usage. If the sample size of users involved could be increased in the future, it would be possible to
develop a model for real-time simulations of mobile users in specific areas so that limited connection
resources could be dynamically allocated. Moreover, the basic communication infra-structures, such as
base stations, should be well-planned and developed in advance to fulfill the potential 5G demand.

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