Title :
Wireless Communication Quality Monitoring with Modeling Approach
Author :
Akhmetov, Dauren F. ; Kotaki, Minoru
Author_Institution :
NTT DoCoMo Hokkaido, Inc., Sapporo
Abstract :
Quality and reliability of wireless communication is an actual issue for design of modern high-efficiency information systems in the wide area of human activities. In the paper, the problem of wireless communication reliability and methods of its evaluation are studied. The quality of communication at actual spot is estimated with the method proposed by the authors. It is based on the usage of a prediction mathematical model presenting the time series for receiving signal level data. Different model classes are considered for the data description including neural network models. Special model training procedure based on the aggregative learning method (ALM) is applied along with expert approach for the data classification. Fixed wireless access (FWA) communication system is used as a test bed for the proposed method. Classification abilities of the method are shown reliable for estimation of the communication quality. Characterized with high computational efficiency and simple decision making procedure, the derived method can be useful for design of simple and reliable real-time systems for communication quality monitoring.
Keywords :
learning (artificial intelligence); monitoring; pattern classification; radio access networks; telecommunication computing; telecommunication network reliability; time series; aggregative learning method; data classification; fixed wireless access communication system; high-efficiency information system; human activity; neural network model; prediction mathematical model; time series; wireless communication quality monitoring; wireless communication reliability; Computational efficiency; Humans; Information systems; Learning systems; Mathematical model; Monitoring; Neural networks; System testing; Telecommunication network reliability; Wireless communication;
Conference_Titel :
Complex, Intelligent and Software Intensive Systems, 2008. CISIS 2008. International Conference on
Conference_Location :
Barcelona
Print_ISBN :
978-0-7695-3109-0
DOI :
10.1109/CISIS.2008.73