Abstract
The vision for future telecommunication systems is considered as a representative example of a complex adaptive organization, where several elements, with various computational capabilities and network resources, are interconnected. The increased complexity and the continuously changing network environment make more intense the need for automation and for localized network management tasks. Self-management will allow the execution of advanced configuration actions, such as the change of the wireless network topology under various performance criteria. This paper focuses on the description of the principles and the architectural framework for the cognitive management of future communication systems, considering a complex radio access environment. This framework is used in order to present a solution on the autonomic topology control of future communication systems, where multi-hop links are established using the available relays stations, under the energy consumption constraint.
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References
Cliff, D.: Biologically-Inspired Computing Approaches To Cognitive Systems: a partial tour of the literature. Technical Report, http://www.hpl.hp.com/techreports/2003/HPL-2003-11.html
Vernon, D., Metta, G., Sandini, G.: A Survey of Artificial Cognitive Systems: Implications for the Autonomous Development of Mental Capabilities in Computational Agents. IEEE Transactions on Evolutionary Computation, Special Issue on Autonomous Mental Development (2007)
Langley, P., Laird, J.E., Rogers, S.: Cognitive architectures: Research issues and challenges (2006), http://cll.stanford.edu/~langley/papers/final.arch.pdf
ACT-R, http://act-r.psy.cmu.edu
Weng, J.: On Developmental Mental Architectures. Neurocomputing 170(13-15), 2303–2323 (2007)
Thomas, R.W., DaSilva, L.A., MacKenzie, A.B.: Cognitive networks: adaptation and learning to achieve end-to-end performance objectives. IEEE Communications Magazine 44(12), 51–57 (2006)
Haykin, S.: Cognitive radio: brain-empowered wireless communications. IEEE Journal on Selected Areas in Communications 23(2), 201–220 (2005)
Thomas, R.W., DaSilva, L.A., MacKenzie, A.B.: Cognitive networks. In: First IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks (DySPAN), pp. 352–360 (2005)
Mitola III, J., Maguire Jr., G.Q.: Cognitive radio: Making software radios more personal. IEEE Personal Communications 6(4), 13–18 (1999)
Prehofer, C., Bettstetter, C.: Self-organization in communication networks: principles and design paradigms. IEEE Communication Magazine 43(7), 78–85 (2005)
Bogenfeld, E., Gaspard, I.: Self-x in Radio Access Networks, E3 White Paper (2008), https://ict-e3.eu/project/white_papers/Self-x_WhitePaper_Final_v1.0.pdf
Dressler, F.: Self-Organization in Ad Hoc Networks: Overview and Classification, University of Erlangen, Dept. of Computer Science 7, Technical Report 02/06 (March 2006)
Biskupski, B., Dowling, J., Sacha, J.: Properties and mechanisms of self-organizing MANET and P2P systems. ACM Transactions on Autonomous and Adaptive Systems (TAAS) 2(1) (2007)
Kousaridas, A., Polychronopoulos, C., Alonistioti, N., Marikar, A., Mödeker, J., Mihailovic, A., Agapiou, G., Chochliouros, I., Heliotis, G.: Future internet elements: cognition and self-management design issues. In: Proceedings of the 2nd International Conference on Autonomic Computing and Communication Systems, Turin, Italy, September 23 - 25 (2008)
Kousaridas, A., Alonistioti, N.: On a synergetic architecture for cognitive adaptive behavior of future communication systems, International Symposium on World of Wireless.In: Mobile and Multimedia Networks (WoWMoM), pp. 1–7 (2008)
IEEE P802.16j, EEE Draft Amendment to IEEE Standard for Local and Metropolitan Area Networks Part 16: Air Interface for Fixed and Mobile Broadband Wireless Access Systems Multihop Relay Specification (2009)
3GPP TR 36.814 V1.5.0, Further advancements for E-UTRA Physical layer aspects, Tech. Spec. Group Radio Access Network (December 2009)
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© 2010 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering
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Kousaridas, A., Alonistioti, N. (2010). Topology Control in Self-managed Wireless Networks. In: Chatzimisios, P., Verikoukis, C., Santamaría, I., Laddomada, M., Hoffmann, O. (eds) Mobile Lightweight Wireless Systems. Mobilight 2010. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 45. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16644-0_26
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DOI: https://doi.org/10.1007/978-3-642-16644-0_26
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-16643-3
Online ISBN: 978-3-642-16644-0
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