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Annals of Telecommunications

Erschienen in:

01.08.2009

A generic cognitive framework for supervising the radio dynamic reconfiguration

An AI approach based on design problem classification

verfasst von: Nicolas Colson, Apostolos Kountouris, Armelle Wautier, Lionel Husson

Erschienen in: Annals of Telecommunications | Ausgabe 7-8/2009

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Abstract

Cognitive radio is a technological concept pushing for the introduction of intelligent radio operation that goes beyond traditional system adaptation. So far, a rather limited amount of work has been published on the cognitive mechanisms that should be embedded into communicating equipments to achieve such an intelligent behavior. This paper presents a generic cognitive framework for autonomous decision making with regard to multiple, possibly conflicting, operational objectives in a time-varying environment. The framework is based on the definition of two scales introducing order relationships between the configurations that help the reasoning and learning processes. The resulting cognitive engine learns to progressively identify the optimal configurations for the design objectives imposed given the current radio environment. The proposed approach is illustrated for a case of cognitive waveform design and extensive simulation results validate the cognitive engine behavior.

Vorheriger Artikel Cognitive radio architecture evolution: annals of telecommunications

Nächster Artikel An executable meta-model of a hierarchical and distributed architecture management for cognitive radio equipments

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The learning systems are part of the RALFE algorithm. They will be described in Section 5.5 along with the algorithm.

r depends on the modulation order and the code rate.

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The algorithm stops its offensive exploration as soon as a bad decision is made. It then regresses along the PS to fall back on a satisfying configuration. The pattern C ⁿ BC ⁿ O is, thus, not considered for the current implementation of the algorithm (for example).

For example, the counter associated to Stat₁ is incremented by I ₁ = 1 if the design experience leads to the C ⁿ O evaluation pattern since no bad decision was made.

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Titel: A generic cognitive framework for supervising the radio dynamic reconfiguration
An AI approach based on design problem classification
verfasst von: Nicolas Colson
Apostolos Kountouris
Armelle Wautier
Lionel Husson
Publikationsdatum: 01.08.2009
Verlag: Springer-Verlag
Erschienen in: Annals of Telecommunications / Ausgabe 7-8/2009
Print ISSN: 0003-4347
Elektronische ISSN: 1958-9395
DOI: https://doi.org/10.1007/s12243-009-0100-7

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