Receiver Structures Based on Self-Organizing Maps
Until spring 1999 the topic of the research was receiver structures
based on Self Organizing Map (SOM). In these studies, nonlinearly
distorted multipath channel model with 4-PAM and 16-QAM modulations
has been used. The interference has been both from Gaussian and
equivalently modulated source.
Latest publications:
- Teuvo Kohonen, Kimmo Raivio, Olli Simula, Olli Ventä, and Jukka Henriksson:
Combining linear equalization and self-organizing adaptation in
dynamic discrete-signal detection.
In Proceedings of the International Joint Conference on Neural
Networks, pages I 223-228, San Diego, June 1990. (reproduced version, most of the figures are missing)
- Kimmo Raivio:
Combining linear equalization and self-organizing adaptation in
dynamic discrete-signal detection.
Master's thesis, Helsinki University of Technology, Espoo, Finland,
August 1990.
- Kimmo Raivio, Olli Simula, and Jukka Henriksson: Improving decision feedback equaliser performance using neural
networks. Electronics Letters, 27(23):2151-2153, November 1991. (figures)
- Teuvo Kohonen, Kimmo Raivio, Olli Simula, and Jukka Henriksson: Performance evaluation of self-organizing map based neural equalizers
in dynamic discrete-signal detection.In Proceedings of the International Conference on Artificial
Neural Networks, pages II 1677-1680, Helsinki, June 1991.
- Teuvo Kohonen, Kimmo Raivio, Olli Simula, and Jukka Henriksson: Start-up behaviour of a neural network assisted decision feedback
equaliser in a two-path channel. In Proceedings of the International Conference on
Communications, pages 1523-1527, Chicago, June 14-18 1992.
- Kimmo Raivio:
Detection of nonlinearly distorted and multipath propagated signals
using self-organizing maps.
Licentiate's thesis, Helsinki University of Technology, Espoo,
Finland, August 1993.
- Kimmo Raivio and Teuvo Kohonen: Detection of nonlinearly distorted and two-path propagated signals
using a neural network based equalizer. In XIX Convention on Radio Science, Abstract of Papers, pages
11-12, Espoo, Finland, October 25-26 1993.
- Kimmo Raivio and Teuvo Kohonen: Detection of nonlinearly distorted and two-path propagated signals
using SOM-based equalizers. In Proceedings of the International Conference on Artificial
Neural Networks, volume 2, pages 1037-1040, Sorrento, May 26-29 1994.
- Kimmo Raivio, Jukka Henriksson, and Olli Simula: Interference Cancellation For PAM Modulation Using Neural Networks. In Proceedings of the Finnish Signal Processing Symposium,
pages 50-54, Espoo, June 2 1995.
- Kimmo Raivio, Jukka Henriksson, and Olli Simula: Neural Detection of QAM Modulation in the Presence of Interference. In Proceedings of the ICNN,
volume 4, pages 1566-1569, Perth, Nov 27 - Dec 1 1995.
- Kimmo Raivio, Jukka Henriksson, and Olli Simula: Neural Detection of QAM signal with strongly nonlinear receiver. In Proceedings of the WSOM,
pages 20-25, Espoo, Finland, June 4 - 6 1997.
- Kimmo Raivio, Jukka Henriksson, and Olli Simula: Neural receiver structures based on Self-Organizing Maps in nonlinear multipath channels. In Proceedings of the IWANNT,
pages 241-247, Melbourne, Australia, June 9 - 11 1997.
- Kimmo Raivio, Ari Hämäläinen, Jukka Henriksson, and Olli Simula: Performance of Two Neural Receiver Structures in the
Presence of Co-Channel Interference. In Proceedings of the ICNN,
volume 4, pages 2080-2084, Houston, Texas, USA, June 9 - 12 1997.
- Kimmo Raivio, Jukka Henriksson, and Olli Simula: Neural Detection of QAM signal with strongly nonlinear receiver. Neurocomputing, 21, pages 159-171, October 1998.
- Kimmo Raivio:
Receiver Structures Based on Self-Organizing Maps.
Doctor's thesis, Helsinki University of Technology, Espoo,
Finland, January 1999
(gzipped version).
Neural Analysis of Mobile Radio Access Network
Current research concentrates on neural analysis of mobile radio
access networks. In this study SOM and other clustering methods are used to
monitor and classify mobile cells.
Latest publications:
- Kimmo Raivio, Olli Simula, and Jaana Laiho.
Neural Analysis of Mobile Radio Access Network.
In Proceedings of the International Conference on Data Mining (ICDM),
pages 457-464, San Jose, November 29 - December 2 2001.
(pdf).
- Pasi Lehtimäki, Kimmo Raivio, and Olli Simula.
Mobile Radio Access Network Monitoring Using the Self-Organizing Map.
In Proceedings of the European Symposium on Artificial Neural Networks (ESANN),
pages 231-236, Bruges, April 24 - 26 2002.
- Jaana Laiho, Kimmo Raivio, Pasi Lehtimäki, Kimmo Hätönen, and Olli Simula.
Advanced Analysis Methods for 3G Cellular Networks.
Tech. Rep. A65, Helsinki University of Technology,
Laboratory of Computer and Information Science, 2002.
- Kimmo Raivio, Olli Simula, Jaana Laiho, and Pasi Lehtimäki.
Analysis of Mobile Radio Access Network Using the Self-Organizing Map.
In Proceedings of the International Symposium on Integrated Network Management,
pages 439-451, Colorado Springs, Colorado, US, March 24 - 28 2003.
- Pasi Lehtimäki, Kimmo Raivio, and Olli Simula.
Self-Organizing Operator Maps in Complex System Analysis.
In Proceedings of the Joint 13th International Conference on Artificial Neural Networks and 10th International Conference on Neural Information Processing,
pages 622-629, Istanbul, Turkey, June 26 - 29 2003.
- Jaana Laiho, Kimmo Raivio, Pasi Lehtimäki, Kimmo Hätönen, and Olli Simula.
Advanced Analysis Methods for 3G Cellular Networks.
IEEE Transactions on Wireless Communications, Vol. 4, No. 3, pp.930-942,
May 2005.
- Pasi Lehtimäki, and Kimmo Raivio.
A SOM Based Approach for Visualization of GSM Network Performance Data.
In Proceedings of The 18th International Conference on Industrial & Engineering Applications
of Artificial Intelligence & Expert Systems, Bari, Italy, June 22-25, 2005.
- Pasi Lehtimäki, and Kimmo Raivio.
A Knowledge-Based Model for Analyzing GSM Network Performance.
In Proceedings of The 6th International Symposium on Intelligent Data Analysis, Madrid, Spain, September 8-10, 2005.