Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Pasi Lehtimäki"'
Publikováno v:
IEEE Transactions on Wireless Communications. 4:930-942
The operation and maintenance of the third generation (3G) mobile networks will be challenging. These networks will be strongly service driven, and this approach differs significantly from the traditional speech dominated in the second generation (2G
Publikováno v:
AINA Workshops
A cellular network like a GSM network is built up using a number of base stations to cover a large geographical area. The area covered by one base station can be seen as a cell in the network. Regardless of the location of a user the network should b
Autor:
Pasi Lehtimäki, M. Kylvaja, Kimmo Raivio, P. Vehvilainen, P. Kumpulainen, Jaana Laiho, Kimmo Hätönen
Publikováno v:
2004 IEEE 59th Vehicular Technology Conference. VTC 2004-Spring (IEEE Cat. No.04CH37514).
Telecommunications networks move towards wireless applications and service and business driven network management. Operators provide new services on different access technologies, in a multi-technology environment. This shift in abstraction level tow
Autor:
Kimmo Raivio, Pasi Lehtimäki
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540287957
IDA
IDA
In this paper, a method to analyze GSM network performance on the basis of massive data records and application domain knowledge is presented. The available measurements are divided into variable sets describing the performance of the different subsy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9da860652a6894848920f5cd286ec286
https://doi.org/10.1007/11552253_19
https://doi.org/10.1007/11552253_19
Autor:
Pasi Lehtimäki, Kimmo Raivio
Publikováno v:
Innovations in Applied Artificial Intelligence ISBN: 9783540265511
IEA/AIE
IEA/AIE
In this paper, a neural network based approach to visualize performance data of a GSM network is presented. The proposed approach consists of several steps. First, a suitable proportion of measurement data is selected. Then, the selected set of multi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::36bd8457400a3b77b30b3638a5cf8eb9
https://doi.org/10.1007/11504894_82
https://doi.org/10.1007/11504894_82
Publikováno v:
Integrated Network Management VIII ISBN: 9781475755213
Integrated Network Management
Integrated Network Management
Mobile networks produce a huge amount of spatio-temporal data. The data consists of parameters of base stations and quality information of calls. The self-organizing map (SOM) is an efficient tool for visualization and clustering of multidimensional
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::904dabefef7ab302cb6b55b6585b0c08
https://doi.org/10.1007/978-0-387-35674-7_42
https://doi.org/10.1007/978-0-387-35674-7_42
Publikováno v:
Artificial Neural Networks and Neural Information Processing — ICANN/ICONIP 2003 ISBN: 9783540404088
ICANN
ICANN
The growth in amount of data available today has encouraged the development of effective data analysis methods to support human decision-making. Neuro-fuzzy computation is a soft computing hybridisation combining the learning capabilities of the neur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d6e4a0d89e3c87a2a966aa9e16469719
https://doi.org/10.1007/3-540-44989-2_74
https://doi.org/10.1007/3-540-44989-2_74
Autor:
Pasi Lehtimäki
Publikováno v:
International Journal of Mobile Network Design and Innovation. 2:230
In GSM networks, call blocking, call dropping and bad voice quality are the most common types of service quality problems. The occurrence rate of these problem types is closely connected with the size of the cell served by a BTS. Large cells tend to