• Corpus ID: 45216982

Analytical Study for Optimal Time Parameter in Cellular Communication Data analysis

@inproceedings{Albayati2013AnalyticalSF,
  title={Analytical Study for Optimal Time Parameter in Cellular Communication Data analysis},
  author={Wurood H. Albayati and Tawfiq A. Al-asadi},
  year={2013}
}
In this research we will try to determine time quantization periods which could be used for cellular data analysis to reduce cost and time in processing such huge data. The research try to answer such questions as, What is the excite time quantization value required to perform network and user analysis? It is possible to eliminate any periods of time without effecting the quality of obtained result? Does it worth to eliminate such data(what is the gain for such elimination)? 

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References

SHOWING 1-4 OF 4 REFERENCES
Time Hopping for Device-To-Device Communication in LTE Cellular System
TLDR
Time hopping (TH) based radio resource allocation schemes aiming to improve the robustness of the hybrid network are proposed to give some hints on the optimization of the practical TH operation in a hybrid network.
A model for teletraffic performance and channel holding time characterization in wireless cellular communication with general session and dwell time distributions
TLDR
An approach to modeling user mobility and session time which enables both the calculation of teletraffic performance characteristics and a characterization of holding time which agrees with published reports is presented.
Methodologies for Continuous Cellular Tower Data Analysis
TLDR
This paper presents novel methodologies for the analysis of continuous cellular tower data from 215 randomly sampled subjects in a major urban city, and introduces the X-Factor model, a DBN with a latent variable corresponding to abnormal behavior.
The Mobile Data Challenge: Big Data for Mobile Computing Research
This paper presents an overview of the Mobile Data Challenge (MDC), a large-scale research initiative aimed at generating innovations around smartphone-based research, as well as community-based