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Context Matching for Realizing Cognitive Wireless Network Segments

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Abstract

Beyond 3rd Generation (B3G) wireless communication systems are comprised from different Radio Access Technologies (RATs) in order to satisfy all user needs in services. The coexistence of many RATs in the same environment needs advanced network management systems in order to ensure efficient resources utilization while achieving the best possible Quality of Service (QoS) levels. Management functionality in the B3G era will have to solve complex problems, due to the existence of versatile options for satisfying stringent requirements, under difficult environment conditions. The introduction of cognitive systems in the B3G world is a direction for addressing the complexity, as it will enable reaching decisions faster and more reliably, by considering also knowledge and experience derived from past interactions of the system with the network environment. Our work presents an approach for identifying whether a context, encountered by the network segment, has also been dealt in the past. In this case context knowledge can be exploited for fast and cost efficient network reconfiguration and adaptation to the environment conditions.

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Authors and Affiliations

  1. University of Piraeus, Piraeus, Greece

    A. Saatsakis & P. Demestichas

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  1. A. Saatsakis
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  2. P. Demestichas
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Correspondence to A. Saatsakis.

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Saatsakis, A., Demestichas, P. Context Matching for Realizing Cognitive Wireless Network Segments. Wireless Pers Commun 55, 407–440 (2010). https://doi.org/10.1007/s11277-009-9807-z

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