Position-Time Pattern Based Method for Analyzing Users’ Mobility

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F23%3A00368061" target="_blank" >RIV/68407700:21230/23:00368061 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.1109/VTC2023-Spring57618.2023.10201211" target="_blank" >http://dx.doi.org/10.1109/VTC2023-Spring57618.2023.10201211</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/VTC2023-Spring57618.2023.10201211" target="_blank" >10.1109/VTC2023-Spring57618.2023.10201211</a>

Result language

angličtina

Original language name

Position-Time Pattern Based Method for Analyzing Users’ Mobility

Original language description

Mobile network users’ movements analysis has increasingly importance with the mobile networks evolution. Time-spatial information about current and previous locations can contribute in optimizing mobile network performance. Extracting features from this information is the most common method in analyzing users’ mobility. In this paper, a new position-time pattern based method is proposed to analyze the mobility by translating time-spatial records of each user to target-oriented image. Dataset provided from an ISP in Shanghai city for one month is used in our work. The proposed method is deducing user’ mobility behavior by visualizing serving base stations positions vs time according to unified rules for all users. Mobility pattern ambiguity resulting from neighboring base stations is processed. Moreover, K-Nearest Neighbors based method is suggested to predict base stations neighborhood. Results shows that visualizing time-spatial dataset, with proper processing of neighboring base stations issue, provide better understanding of users’ mobility data analysis.

Czech name

—

Czech description

—

Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

—

Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2023

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

2023 IEEE 97th Vehicular Technology Conference

ISBN

979-8-3503-1114-3

ISSN

2577-2465

e-ISSN

2577-2465

Number of pages

5

Pages from-to

1-5

Publisher name

IEEE Industrial Electronic Society

Place of publication

Vienna

Event location

Florence

Event date

Jun 20, 2023

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

001054797203009