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.
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Notes
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.
AC corresponds to the number of operations required by the Berlekamp Massey algorithm for decoding the BCH codes.
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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This work has been conducted in its initial part within the IST-ORACLE European Union project (IST-2004-027965).
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Colson, N., Kountouris, A., Wautier, A. et al. A generic cognitive framework for supervising the radio dynamic reconfiguration. Ann. Telecommun. 64, 443–462 (2009). https://doi.org/10.1007/s12243-009-0100-7
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DOI: https://doi.org/10.1007/s12243-009-0100-7