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Low-power and radiation resilient approaches for spectrum sensing

Abstract : The advancement of technology has enabled a great increase in the number of users and the amount of information to be transmitted. In recent years, the demand for high download rates, massive connection, low latencies, and energy efficiency has increased, mainly due the popularization of IoT devices and the introduction of industry 4.0. This has led to a significant increase in demand for the frequency spectrum to accommodate new services or to improve existing ones. One of the alternatives to deal with this problem is the use of cognitive radios (CRs). They are able to sense the spectrum and see which bands are not currently being used. Among the various challenges related to CR, spectrum sensing is one of the most important and one of the primary functions of these radios. Wideband spectrum sensing presents several challenges, including antennas and processing a lot of data. However, in several moments the spectrum can be considered sparse allowing the use of compressive sensing (CS) in order to reduce the amount of samples required and thereby reducing processing resources. In terms of hardware, the use of CS can be translated in analog-to-information converters (AICs) instead of implementing analog-to-digital converters (ADCs) with high sampling rates. Furthermore, it is interesting to implement low-power devices. Downscaling transistors to nanometers helps to reduce consumption and area. However, other alternatives have been studied to decrease the leakage power. Among these alternatives, Magnetic Tunnel Junction (MTJ) has been very promising. In addition, the downscaling transistors makes circuits more sensitive to Single Event Transient (SET), and although MTJ is more robust than transistors to radiation, it is necessary to study how this impact is and how to reduce it. In this context, this thesis focuses on the SET effects analysis and MTJ applications which can be used in an AIC to perform the wideband spectrum sensing. The main contributions of this thesis are the analysis of SET effects in a comparator which is one of the main components of an ADC, analysis of SET effects in MTJ structures, and the proposition of an MTJ-based ADC which can be used in an AIC to perform the wideband spectrum sensing.
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Submitted on : Sunday, January 2, 2022 - 1:33:18 AM
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Nilson Maciel de Paiva Junior. Low-power and radiation resilient approaches for spectrum sensing. Micro and nanotechnologies/Microelectronics. Institut Polytechnique de Paris, 2020. English. ⟨NNT : 2020IPPAT040⟩. ⟨tel-03506276⟩

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