Call Details Record Analysis: A Spatiotemporal Exploration toward Mobile Traffic Classification and Optimization
The information contained within Call Details records (CDRs) of mobile networks can be used to study the operational efficacy of cellular networks and behavioural pattern of mobile subscribers. In this study, we extract actionable insights from the CDR data and show that there exists a strong spatio...
Main Authors: | Kashif Sultan, Hazrat Ali, Adeel Ahmad, Zhongshan Zhang |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-06-01
|
Series: | Information |
Subjects: | |
Online Access: | https://www.mdpi.com/2078-2489/10/6/192 |
Similar Items
-
Call Detail Records Driven Anomaly Detection and Traffic Prediction in Mobile Cellular Networks
by: Kashif Sultan, et al.
Published: (2018-01-01) -
Quantifying the differences in <italic toggle="yes">call detail records</italic>
by: Federico Botta
Published: (2021-06-01) -
Analysis of ATM Call Detail Records and Recommendations for Standards
by: Wang, Xianrui Roger
Published: (2014) -
A Hive-Based Retrieval Optimization Scheme for Long-Term Storage of Massive Call Detail Records
by: Xi Peng, et al.
Published: (2020-01-01) -
Relationship Among the Diameter of the Area of Influence & Refill Usage of Sri Lanka Using Anonymized Call Detail Records
by: Isuru Wijesinghe, et al.
Published: (2017-01-01)