Performance Evaluation Of Call Setup Success Rate (cssr) In A Global System For Mobile Communications (gsm) Network
Published 2025-01-08
Keywords
- GSM Network,
- Call Setup Success Rate,
- Error Rate and KPI
How to Cite
Abstract
Call set up success rate in a GSM network is one of the very key performance indicators (KPI) used by all GSM operator and service provider. CSSR is the fraction of the attempts to make a call that result in a connection to the dialed number. The Main purpose of this paper is to examine the performance of call setup success rate in a GSM network. The Problem here is that usually all call attempt are expected to be successful
never the less calls still fail due to various reasons not all call attempts end with a connection to the dialed number. The method employed a data mining technique for the design and analysis by RMSE and Pearson correlation to the dialed number. The Method employed a data mining technique for the design and Analysis of the data. It was aided by RMSE and Pearson correlation coefficient to the dialed number, a four
weeks' data of CSSR was partitioned into input and output training and checking paired data set, the data was trained with the use of ANFIS model in a Mat lab 2018a environment. Main Findings shows that ANFIS has an effective hybrid training or learning between the real and implemented. The performance of the ANFIS model was evaluated using standard error measurements. The implications of the study are that the proposed error modeling can be used in order to assure standard in measurement
of CSSR. ANFIS guarantee proper planning, network correlation coefficient, a four weeks' data of CSSR was partitioned into input and output training and checking paired data set, the data was trained with the use of ANFIS model in a Matlab 2018a environment. Main Findings shows that Adaptive Neuro-Fuzzy Inference System (ANFIS) has an effective hybrid training or learning between the real and implemented. The performance of the ANFIS model was evaluated using standard error measurements. The implications of the study are that the proposed error modeling can be used in order to assure standard in measurement of CSSR. ANFIS guarantee proper planning, network management, forecasting or prediction for
optimal network performance.