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Article Dans Une Revue Transactions on emerging telecommunications technologies Année : 2013

Management Architecture for Green Cognitive Radio Equipments

Résumé

We assert in this paper that a management architecture has to be added to usual signal processing chain of radio equipments in order to integrate green management capabilities. The proposed architecture is based on our previous work on HDCRAM (Hierarchical and Distributed Cognitive Radio Architecture Management) for cognitive radio equipments. We assert that, at the level of an equipment, green radio can be considered as a subset of cognitive radio. A model based approach is derived for the design of green radio equipments. As an example, we address in this paper a green scenario which consists in bypassing the equalizer in function of SNR (signal to noise ratio) and ISI (inter-symbol interference) levels at a receiver. Then we show how we save energy thanks to a complexity reduction. Both signal processing and implementations views are given for this scenario, which shows how our approach helps converting principles into reality.

Domaines

Electronique

Dates et versions

hal-00932738 , version 1 (17-01-2014)

Identifiants

Citer

Oussama Lazrak, Salma Bourbia, Christophe Moy, Daniel Le Guennec, Pierre Leray, et al.. Management Architecture for Green Cognitive Radio Equipments. Transactions on emerging telecommunications technologies, 2013, 24 (7-8), pp.683-691. ⟨10.1002/ett.2734⟩. ⟨hal-00932738⟩
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