Continuous versus discrete model in autodiagnosis systems for wireless networks

IEEE Transactions on Mobile Computing

Volumn 7, Issue 6, 2008, Pages 673-681

  Barco, Raquel ^a   Lázaro, Pedro ^a   Díez, Luis ^a   Wille, Volker ^b  

^a UNIVERSITY OF MÁLAGA   (Spain)

^b NOKIA SIEMENS NETWORKS   (Finland)

Author keywords

Automation; Decision support; Mobile communication systems; Network operations; Probabilistic algorithms; Wireless communication

Indexed keywords

AUTOMATION; DECISION SUPPORT SYSTEMS; MOBILE TELECOMMUNICATION SYSTEMS; RADIO SYSTEMS;

KEY PERFORMANCE INDICATORS (KPI); RADIO ACCESS NETWORK (RAN);

WIRELESS NETWORKS;

EID: 42649103654     PISSN: 15361233     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMC.2008.23     Document Type: Article

References (24)

1. A. Jamalipour, T. Wada, and T. Yamazato, "A Tutorial on Multiple Access Technologies for Beyond 3G Mobile Networks," IEEE Comm. Magazine, vol. 43, no. 2, pp. 110-117, 2005.
2. Z. Altman, R. Skehill, R. Barco, L. Moltsen, R. Brennan, A. Samhat, R. Khanafer, H. Dubreil, M. Barry, and B. Solana, "The Celtic Gandalf Framework," Proc. IEEE Mediterranean Electrotechnical Conf. (MELECON '06), pp. 595-598, May 2006.
3. R. Barco, V. Wille, and L. Diez, "System for Automated Diagnosis in Cellular Networks Based on Performance Indicators," European Trans. Telecomm., vol. 16, no. 5, pp. 399-409, Oct. 2005.
4. P. Lehtimäki and K. Raivio, "A Knowledge-Based Model for Analyzing GSM Network Performance," Proc. Int'l Conf. Industrial and Eng. Applications of Artificial Intelligence and Expert Systems, June 2005.
5. J. Laiho, K. Raivio, P. Lehtimäki, K. Hätönen, and O. Simula, "Advanced Analysis Methods for 3G Cellular Networks," IEEE Trans. Wireless Comm., vol. 4, no. 3, pp. 930-942, May 2005.
6. P. Lehtimäki and K. Raivio, "A SOM Based Approach for Visualization of GSM Network Performance Data," Proc. Int'l Symp. Intelligent Data Analysis, Sept. 2005.
7. G.A. Barreto, J.C.M. Mota, L.G.M. Souza, R.A. Frota, L. Aguayo, J.S. Yamamoto, and P. Oliveira, "Competitive Neural Networks for Fault Detection and Diagnosis in 3G Cellular Systems," LNCS 3124, pp. 207-213, Aug. 2004.
8. G. Ng and K. Ong, "Using a Qualitative Probabilistic Network to Explain Diagnostic Reasoning in an Expert System for Chest Pain Diagnosis," Computers in Cardiology, pp. 569-572, Sept. 2000.
9. D. Heckerman, J. Breese, and K. Rommelse, "Decision-Theoretic Troubleshooting," Comm. ACM, vol. 38, no. 3, pp. 49-57, Mar. 1995.
10. M. Steinder and A.S. Sethi, "Probabilistic Fault Localization in Communication Systems Using Belief Networks," IEEE/ACM Trans. Networking, vol. 12, no. 5, pp. 809-822, Oct. 2004.
11. H. Wietgrefe, "Investigation and Practical Assessment of Alarm Correlation Methods for the Use in GSM Access Networks," Proc. IEEE/IFIP Network Operations and Management Symp., pp. 391-403, Apr. 2002.
12. J. Pearl, Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference. Morgan Kaufmann, 1988.
13. B. Cestnik, "Estimating Probabilities: A Crucial Task in Machine Learning," Proc. European Conf. Artificial Intelligence (ECAI '90), pp. 147-149, Aug. 1990.
14. R. Khanafer, L. Moltsen, H. Dubreil, Z. Altman, and R. Barco, "A Bayesian Approach for Automated Troubleshooting for UMTS Networks," Proc. 17th IEEE Int'l Symp. Personal, Indoor and Mobile Radio Comm. (PIMRC '06), Aug. 2006.
15. A. Samhat, R. Skehill, and Z. Altman, "Automated Troubleshooting in WLAN Networks," Proc. 16th IST Mobile and Wireless Comm. Summit, July 2007.
16. I. Rish, "An Empirical Study of the Naive Bayes Classifier," Proc. Int'l Joint Conf. Artificial Intelligence, pp. 41-46, Aug. 2001.
17. U.M. Fayyad and K.B. Irani, "Multi-Interval Discretization of Continuous Valued Attributes for Classification Learning," Proc. Int'l Joint Conf Artificial Intelligence, pp. 1022-1027, Aug. 1993.
18. C.L. Blake and C.J. Merz, UCI Repository of Machine Learning Databases, Dept. Information and Computer Science, http://www.ics.uci.edu/ mlearn/MLRepository.html, 1998.
19. J.L. Johnson, Probability and Statistics for Computer Science. John Wiley & Sons, 2003.
20. P. Domingos and P. Pazzani, "On the Optimality of the Simple Bayesian Classifier under Zero-One Loss," Machine Learning, vol. 29, pp. 103-130, Nov. 1997.
21. N. Friedman, D. Geiger, and M. Goldszmidt, "Bayesian Network Classifiers," Machine Learning, vol. 29, pp. 131-163, Nov. 1997.
22. M. Henrion, M. Pradhan, B. Del Favero, K. Huang, G. Provan, and P. O'Rorke, "Why is Diagnosis Using Belief Networks Insensitive to Imprecision in Probabilities?" Proc. Ann. Conf. Uncertainty in Artificial Intelligence, pp. 307-314, 1996.
23. O. Kipersztok and H. Wang, "Another Look at Sensitivity of Bayesian Networks to Imprecise Probabilities," Proc. Int'l Workshop Artificial Intelligence and Statistics, pp. 307-314, 2001.
24. M. Pradhan, M. Henrion, G. Provan, B. del Favero, and K. Huang, "The Sensitivity of Belief Networks to Imprecise Probabilities: An Experimental Investigation," Artificial Intelligence, vol. 85, nos. 1-2, pp. 363-397, 1996.