Document Type : Research Paper

Authors

• seyed Mohsen Safavi koohsareh ¹
• seyed amin hosseini sano ²
• Amirhossein Mohajerzadeh ³

¹ Ph.D. Student in Computer Engineering,, Ferdowsi University of Mashhad ,Mashhad,, Iran

² Associate Professor, Engineering Dept., Faculty of Computer Engineering Ferdows i University of Mashhad Iran Corresponding Author: hosseini@um.ac.ir

³ Amir Hossein Mohajerzadeh Assistant Professor, Engineering Dept., Faculty of System and Computer Engineering, Sohar University: Oman

Abstract

The primary objective of mobile network operators is arguably to maximize their efficiency. Beyond operational and investment costs, maximizing the utilization of available resources can help them achieve this goal. To this end, operators offer discounted data plans during off-peak hours to encourage users to utilize the network during these times. These packages are typically based on the average traffic load across the entire network at different times of the day. However, they often overlook the fact that traffic patterns can vary significantly across different population areas within a city at various times. In this paper, different population areas are automatically identified using clustering based on traffic patterns. By identifying these areas and considering the traffic patterns specific to each area, the allocation of appropriate internet packages for users, based on the regions they frequent, is analyzed and discussed. Additionally, other potential applications of this clustering method for offering various services are presented, followed by a conclusion

Keywords

• mobile network operator
• maximizing the utilization
• cellular data plan
• clustering
• traffic pattern

Main Subjects

• Management approaches in the field of smart