Abstract
This paper describes an innovative application of Case-Based Reasoning methodologies for the dynamic management of wireless telecommunications systems. In spite of the very dynamic nature of mobile communications, wireless networks only possess limited adaptive management capabilities, which are unable to adequately follow traffic fluctuations through flexible and real-time resource assignment reconfigurations. The study described in this paper is an attempt to improve over these limitations, by allowing wireless networks to alleviate the effects of traffic overloads through an automated reasoning about its performance levels and an on-the-fly reconfiguration of resources assignment. The proposed Case-Based Reasoning approach provides a suitable framework to define a simple and scalable solution that easily incorporates the preferences of the network operators.
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References
A. Aamodt and E. Plaza, “Case-Based Reasoning: Foundational Issues, Methodological Variations, and System Approaches”, AI Communications, vol. 7, pp. 39–59, 1994.
M. Ajmone Marsan, G. Conte, and G. Balbo, “A Class of Generalized Stochastic Petri Nets for the Performance Evaluation of Multiprocessor Systems”, ACM Transactions on Computer Systems, vol. 2, pp. 93–122, 1984.
P. Ala-Siuru and M. Kurki, “Case-based reasoning applied to fault diagnostics in GSM telecommunication networks”, STeP’ 96-Genes, Nets and Symbols, 7th FAIS Conference, 1996.
J.R. Anderson, “The architecture of cognition”, Harvard University Press, Cambridge, 1983.
M.S. Bazaraa, J.J. Jarvis. and H. D. Sherali, „Linear Programming and Network Flows” 2nd ed., Wiley, 1990.
R. Bergmann, “Highlights of the European INRECA Projects”, Case-Based Reasoning Research and Development, LNAI 2080, Springer, 2001.
IST-25352 CAUTION, Deliverable D2.1 “Requirement Analysis and Functional Specifications”, July 2001.
IST-25352 CAUTION Project Home page, http://www.telecom.ntua.gr/caution .
S. Craw, J. Jarmulak and R. Rowe, “Learning and Applying Case-Based Adaptation Knowledge”, Case-Based Reasoning Research and Development, LNAI 2080, Springer, 2001.
B. Diaz-Agudo and P.A. Gonzales-Calero, “An Architecture for Knowledge Intensive CBR Systems”, Advances in Case-Based Reasoning, LNAI 1898, Springer, 2000.
L. Lewis, “Managing Computer Networks: A Case-Based Reasoning Approach”, Artech House, 1995.
L. Portinale and P. Torasso, “Automatic Case base Management in a Multi-modal Reasoning System”, Case-Based Reasoning Research and Development, LNAI 2080, Springer, 2001.
T. Reinartz, I. Iglezakis and T. Roth-Berghofer, “On Quality Measures for Case base Maintenance”, Case-Based Reasoning Research and Development, LNAI 2080, Springer, 2001.
B.H. Ross, “Some Psychological Results on Case-Based Reasoning”, Case-Based Reasoning Workshop, DARPA 1989, Morgan Kaufmann.
B. Smyth and M.T. Keane, “Remembering to Forget: A Competence Preserving Case Deletion Policy for CBR Systems”, Proc. of the 14th International Joint Conference on Artificial Intelligence, Morgan Kaufmann, 1995.
H. Tirri, P. Kontkanen and P. Myllymaki, “A Bayesian Framework for Case-Based Reasoning”, Advances in Case-Based Reasoning, LNAI 1168, Springer, 1996.
3rd Generation Partnership Project. “Radio Resource Management Strategies”, 3G TR 25.922 V4.0.0, 2001.
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Barbera, M. et al. (2002). An Application of Case-Based Reasoning to the Adaptive Management of Wireless Networks. In: Craw, S., Preece, A. (eds) Advances in Case-Based Reasoning. ECCBR 2002. Lecture Notes in Computer Science(), vol 2416. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-46119-1_36
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DOI: https://doi.org/10.1007/3-540-46119-1_36
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