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To Analyse and Optimise the Issues in Call Drops and Enhance the Real Time (CDR) Processing

EasyChair Preprint no. 2873

6 pagesDate: March 5, 2020


Telecom dropped-call rate is the fraction of the calls which gets terminated before any of the consumers finishes the conversation and disconnects frequently. Call drop is a huge problem, despite warnings from the telecom regulator, the problem persists even after years.  Causes of call drops happens with different factors such as Demand of wireless cellular connectivity, Signal strength, Network Configuration, Transmission Problems, Trans-receiver and receiver problem, Propagation factors, Irregular user behaviour, radio propagation for wireless communications, non-availability of sites due to acquisition problems, sealing of sites by local authorities due to fear of electro-magnetic fields from mobile radiations etc. Even inadequate infrastructure and overloaded networks aggravated the call drop issues whereas, setting up of more towers for better coverage would also directly affect the health of habitants around. In this paper, the overall condition of call drops has been reviewed and possible ways to minimize the spectacles of call drops using Linear Discriminant Analysis (LDA) is a dimensionality reduction technique. The goal of LDA is to project the features in higher dimensional space onto a lower-dimensional space in order to avoid the curse of dimensionality and also reduce resources and dimensional costs This paper gives to telecom service providers to improve their infrastructure to minimize the effect of call drop and provide quality services with the advanced technologies with precise algorithms.

Keyphrases: call drops, CDR, Destination, event type, Liner Discriminant Analysis LDA, source

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {G. V. Ashok and P. Vasanthi Kumari},
  title = {To Analyse and Optimise the Issues in Call Drops and Enhance the Real Time (CDR) Processing},
  howpublished = {EasyChair Preprint no. 2873},

  year = {EasyChair, 2020}}
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