<abstract xmlns="http://www.w3.org/1999/xhtml"><p> Nowadays a lot of different researches are performed based on call duration distributions (CDD) analysis. However, the majority of studies are linked with social relationships between the people. Therefore the scarcity of information, how the call duration is associated with a user's location, is appreciable. The goal of this paper is to reveal the ties between user's voice call duration and the location of call. For this reason we analyzed more than 5 million calls from real mobile network, which were made over the base stations located in rural areas, roads, small towns, business and entertainment centers, residential districts. According to these site types CDD’s and characteristic features for call durations are given and discussed. Submitted analysis presents the users habits and behavior as a group (not an individual). The research showed that CDD’s of customers being them in different locations are not equal. It has been found that users at entertainment, business centers are tend to talk much shortly, than people being at home. Even more CDD can be distorted strongly, when machinery calls are evaluated. Hence to apply a common CDD for a whole network it is not recommended. The study also deals with specific parameters of call duration for distinguished user groups, the influence of network technology for call duration is considered.</p></abstract>

Nowadays a lot of different researches are performed based on call duration distributions (CDD) analysis. However, the majority of studies are linked with social relationships between the people. Therefore the scarcity of information, how the call duration is associated with a user's location, is appreciable. The goal of this paper is to reveal the ties between user's voice call duration and the location of call. For this reason we analyzed more than 5 million calls from real mobile network, which were made over the base stations located in rural areas, roads, small towns, business and entertainment centers, residential districts. According to these site types CDD’s and characteristic features for call durations are given and discussed. Submitted analysis presents the users habits and behavior as a group (not an individual). The research showed that CDD’s of customers being them in different locations are not equal. It has been found that users at entertainment, business centers are tend to talk much shortly, than people being at home. Even more CDD can be distorted strongly, when machinery calls are evaluated. Hence to apply a common CDD for a whole network it is not recommended. The study also deals with specific parameters of call duration for distinguished user groups, the influence of network technology for call duration is considered.

Call Duration Characteristics based on Customers Location

Doctoral Student, Vilnius Gediminas Technical University

Associate Professor, Vilnius Gediminas Technical University

Electrical, Control and Communication Engineering

This article is distributed under the terms of the Creative Commons Attribution Non-Commercial License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

{"article-title":"Call Duration Characteristics based on Customers Location"}

Nowadays a lot of different researches are performed based on call duration distributions (CDD) analysis. However, the majority of studies are linked with...

Call Duration Characteristics based on Customers Location

Published Online: May 17, 2014

Page range: 67 - 73

DOI: https://doi.org/10.2478/ecce-2014-0010

Keywords
Communications technology, Cellular networks, Communication system traffic, Telecommunication services

© Riga Technical University

This article is distributed under the terms of the Creative Commons Attribution Non-Commercial License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Call Duration Characteristics based on Customers Location

Published Online: May 17, 2014

Page range: 67 - 73

DOI: https://doi.org/10.2478/ecce-2014-0010

KeywordsCommunications technology, Cellular networks, Communication system traffic, Telecommunication services

© Riga Technical University

This article is distributed under the terms of the Creative Commons Attribution Non-Commercial License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Keywords
Communications technology, Cellular networks, Communication system traffic, Telecommunication services