Location

Portland State University

Start Date

7-5-2019 11:00 AM

End Date

7-5-2019 1:00 PM

Subjects

Service science, Cell phones -- Performance -- Evaluation, Cell phone services industry, Data Envelopment Analysis

Abstract

Most tools and models on performance and quality of service management are generic and do not solve the complex technical systems, which the most critical component on the network and where these tools should be applied. The objective of this research is to assess the cellular performance and Base Transceiver Station (BTS) efficiency by proposing a robust model that is derived from multiple Key Performance Indicators (KPIs) based on technical and financial aspects. The novelty of this research provides a comprehensive multidimensional model for tuning the BTS parameters, which can lead to developing a standard global mobile network KPI. The model measures the efficiency of BTSs and offers a reference set for inefficient BTSs. This creates guidelines for the network optimization engineers to improve inefficient BTSs by comparing their configurations with efficient BTSs to achieve a high level of network optimization. Thus, the analysis will help the decision makers focus on the right area and identify the most critical BTSs based on best practices.

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May 7th, 11:00 AM May 7th, 1:00 PM

An Assessment of the Decision Making Units’ Efficiency in Service Systems (The Case of Cellular Telecom)

Portland State University

Most tools and models on performance and quality of service management are generic and do not solve the complex technical systems, which the most critical component on the network and where these tools should be applied. The objective of this research is to assess the cellular performance and Base Transceiver Station (BTS) efficiency by proposing a robust model that is derived from multiple Key Performance Indicators (KPIs) based on technical and financial aspects. The novelty of this research provides a comprehensive multidimensional model for tuning the BTS parameters, which can lead to developing a standard global mobile network KPI. The model measures the efficiency of BTSs and offers a reference set for inefficient BTSs. This creates guidelines for the network optimization engineers to improve inefficient BTSs by comparing their configurations with efficient BTSs to achieve a high level of network optimization. Thus, the analysis will help the decision makers focus on the right area and identify the most critical BTSs based on best practices.