UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 7 Issue 12
December-2020
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2012338


Registration ID:
304725

Page Number

1020-1024

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Title

Mobility Robustness Optimization Using ANN for Call Drop Prediction

Abstract

Call drop in a mobile network is a much-unexpected phenomenon that is facing by every mobile consumer in today’s era even society is going to adopt 5G and 6G. This issue has not been resolved till now. Many intellectuals and academicians are currently in practice to reduce call drop and they proposed many proposals but still call drop rate is 62% according to a telecom survey. This research paper is giving an approach to minimize call drop during the time of traveling. The proposed model will be helpful to predict call drop which is based on few common parameters that are catching by the nearest base station during handover. This research paper is focused on mobility robustness optimization using an artificial neural network for call drop prediction. Mobility robustness is an important feature of a self-optimizing network and it can be implemented by using deep learning artificial neural network which is well famous for automatic feature extraction, classification, and prediction.

Key Words

Self optimization, artificial neural network, mobility robustness optimization, call drop.

Cite This Article

"Mobility Robustness Optimization Using ANN for Call Drop Prediction", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 12, page no.1020-1024, December-2020, Available :http://www.jetir.org/papers/JETIR2012338.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Mobility Robustness Optimization Using ANN for Call Drop Prediction", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 12, page no. pp1020-1024, December-2020, Available at : http://www.jetir.org/papers/JETIR2012338.pdf

Publication Details

Published Paper ID: JETIR2012338
Registration ID: 304725
Published In: Volume 7 | Issue 12 | Year December-2020
DOI (Digital Object Identifier):
Page No: 1020-1024
Country: Greater Noida, uttar pradesh, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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