CorteXlab: A Cognitive Radio Testbed for Reproducible Experiments

Abstract : The efficiency and potential gain of cognitive radio and more generally opportunistic cooperative communications have been already demonstrated from a theoretical point of view and supported by various simulation results. Beyond these promising results, several questions remain open from a practical point of view. Addressing these issues is not straightforward because deploying complex heterogeneous systems for cooperative scenarios is tedious, time consuming and hardly reproducible. We propose to make a step in this direction by offering a new ex-perimental facility, called CorteXlab, that allows complex multi-node cognitive radio scenarios deployment from anywhere in the world. Our objective is neither to design new software defined radio (SDR) nodes nor to propose a new software framework, but rather to provide a comprehensive access to a large set of high performance SDR nodes. The CorteXlab facility offers a 167 m 2 electromagnetically (EM) shielded room and integrates a set of 24 universal software radio peripherals (USRPs) from National Instruments, 18 PicoSDR nodes from Nutaq and 42 IoT-Lab wireless sensor nodes from Hikob. CorteXlab is built upon the foundations of the SensLAB testbed and also exploits the free and open-source toolkit GNU Radio. Automation in scenario deployment, experiment start, stop and results collection is performed by an experiment controller, called Minus. CorteXlab is in its final stages of development and is already capable of running specific test scenarios. In this contribution, we show that CorteXlab is able to easily cope with the usual issues faced by other testbeds providing a reproducible experiment environment for CR experimentation.
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https://hal.inria.fr/hal-01101103
Contributor : Leonardo Sampaio Cardoso <>
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Leonardo S. Cardoso, Abdelbassat Massouri, Benjamin Guillon, Florin Hutu, Guillaume Villemaud, et al.. CorteXlab: A Cognitive Radio Testbed for Reproducible Experiments. in Proc. Wireless @ Virginia Tech Symposium, May 2014, Blacksburg, United States. ⟨hal-01101103⟩

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