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Cognitive Radios Exploiting Gray Spaces via Compressed Sensing

Dennis Wieruch EMAIL logo , Peter Jung , Thomas Wirth , Armin Dekorsy and Thomas Haustein
From the journal Frequenz

Abstract

We suggest an interweave cognitive radio system with a gray space detector, which is properly identifying a small fraction of unused resources within an active band of a primary user system like 3GPP LTE. Therefore, the gray space detector can cope with frequency fading holes and distinguish them from inactive resources. Different approaches of the gray space detector are investigated, the conventional reduced–rank least squares method as well as the compressed sensing–based orthogonal matching pursuit and basis pursuit denoising algorithm. In addition, the gray space detector is compared with the classical energy detector. Simulation results present the receiver operating characteristic at several SNRs and the detection performance over further aspects like base station system load for practical false alarm rates. The results show, that especially for practical false alarm rates the compressed sensing algorithm are more suitable than the classical energy detector and reduced–rank least squares approach.

Funding statement:  This work was supported by the Deutsche Forschungsgemeinschaft (DFG) grant JU 2795/2 and the Federal Ministry of Education and Research (BMBF) of Germany in the framework of the Cognitive Mobile Radio (CoMoRa) project under support grant 16BU1200.

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Received: 2016-5-17
Published Online: 2016-6-29
Published in Print: 2016-7-1

©2016 by De Gruyter

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