Quality management in GPRS networks with fuzzy case-based reasoning

Authors:
Pietari Pulkkinen;Mikko Laurikkala;Aino Ropponen;Hannu Koivisto
Affiliations:
Department of Automation Science and Engineering, Tampere University of Technology, PO Box 692, 33101 Tampere, Finland;Department of Automation Science and Engineering, Tampere University of Technology, PO Box 692, 33101 Tampere, Finland;Department of Automation Science and Engineering, Tampere University of Technology, PO Box 692, 33101 Tampere, Finland;Department of Automation Science and Engineering, Tampere University of Technology, PO Box 692, 33101 Tampere, Finland
Venue:
Knowledge-Based Systems
Year:
2008

Citing 17
Cited 4

C4.5: programs for machine learning

C4.5: programs for machine learning
Case-based reasoning: foundational issues, methodological variations, and system approaches

AI Communications
GPRS and 3G Wireless Applications: Professional Developer's Guide

GPRS and 3G Wireless Applications: Professional Developer's Guide
Network Management: An Introduction to Principles and Practice

Network Management: An Introduction to Principles and Practice
Managing Computer Networks: A Case-Based Reasoning Approach

Managing Computer Networks: A Case-Based Reasoning Approach
Intelligent Data Analysis: An Introduction

Intelligent Data Analysis: An Introduction
Engineering Internet Qos

Engineering Internet Qos
QoS: Measurement and Evaluation of Telecommunications Quality of Service

QoS: Measurement and Evaluation of Telecommunications Quality of Service
Design and Performance Modeling and Simulation of Self-Healing Mechanisms for Wireless Communication Networks

SS '02 Proceedings of the 35th Annual Simulation Symposium
Pattern Classification (2nd Edition)

Pattern Classification (2nd Edition)
Foundations of Soft Case-Based Reasoning

Foundations of Soft Case-Based Reasoning
Determination of Time and Order for Event-Based Middleware in Mobile Peer-to-Peer Environments

PERCOMW '05 Proceedings of the Third IEEE International Conference on Pervasive Computing and Communications Workshops
Identification of interpretable and accurate fuzzy classifiers and function estimators with hybrid methods

Applied Soft Computing
Generation of comprehensible decision trees through evolution of training data

CEC '02 Proceedings of the Evolutionary Computation on 2002. CEC '02. Proceedings of the 2002 Congress - Volume 02
Quantitative assessment of user-level QoS and its mapping

IEEE Transactions on Multimedia
Extending trouble ticket systems to fault diagnostics

IEEE Network: The Magazine of Global Internetworking
Alarm correlation

IEEE Network: The Magazine of Global Internetworking

Business failure prediction using hybrid2 case-based reasoning (H2CBR)

Computers and Operations Research
Combinations of case-based reasoning with other intelligent methods

International Journal of Hybrid Intelligent Systems - CIMA-08
Supply chain trust diagnosis (SCTD) using inductive case-based reasoning ensemble (ICBRE): The case of general competence trust diagnosis

Applied Soft Computing
Literature review on the creativity of CBR applications

Artificial Intelligence Review

Quantified Score

Hi-index	0.00

Visualization

Abstract

Mobile networks pose challenges to quality management because of the limited capacity of the air interface and the mobility of the users. GPRS is the prevailing system for mobile connectivity at the moment. This paper approaches quality management in GPRS networks with a two-phase system, where a detector block first culls quality disturbances and a fuzzy case-based reasoning engine then proposes a solution to the problem. The main advantage of the concept is model maintenance: the experienced network operator can take part in the decision-making and his or her knowledge thus accumulates in the case base. We also present simulated examples of GPRS network data classified with the detector and inserted into the case base.