An integrated reconfigurable engine for multi-purpose sensing up to 6 GHz

Pollin, Sofie; Hollevoet, Lieven; Wesemael, Peter Van; Desmet, Mattias; Bourdoux, André; Lopez, Eduardo; Naessens, Frederik; Raghavan, Praveen; Derudder, Veerle; Dupont, Steven; Dejonghe, Antoine

doi:10.1109/dyspan.2011.5936264

Cited by 13 publications

(12 citation statements)

References 3 publications

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“…Silicon realizations of spectrum sensing have been demonstrated in [1]- [5] for single narrow-bandwidth signals. The work in [1]- [3] use analog correlators for the IEEE 802.22 standard with 1-and 10-MHz sensing bandwidths with frequency resolution of 100 kHz.…”

Section: Introductionmentioning

confidence: 99%

“…In [1]- [4], only power spectrum density (PSD) estimation is performed, while the sensing time and detection threshold are determined offline. In [5], the authors proposed a reconfigurable engine for multipurpose sensing up to 6 GHz, but the instantaneous sensing bandwidth is only 20 MHz. Apart from narrow sensing bandwidth, the main drawback of existing systems is that the sensing time and detection threshold cannot be adapted dynamically when strong adjacent-band primary users are present.…”

Section: Introductionmentioning

confidence: 99%

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A 7.4-mW 200-MS/s Wideband Spectrum Sensing Digital Baseband Processor for Cognitive Radios

Yang

Čabrić

et al. 2012

IEEE J. Solid-State Circuits

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A digital baseband cognitive radio spectrum sensing processor with 200-kHz resolution over 200-MHz bandwidth is integrated in 1.64 mm in 65-nm CMOS. The processor uses adaptive channel-specific threshold and sensing time to achieve detection probability 0.9 and false-alarm probability 0.1 for 5-dB SNR and adjacent-band interferers of 30-dB INR within a 50-ms sensing time. The chip power and area are minimized by jointly considering algorithm, architecture, and circuit parameters. The chip dissipates 7.4 mW for a 200-MHz sensing bandwidth, which is a 22 reduction in power per sensing bandwidth compared with prior work.Index Terms-CMOS digital integrated circuits, cognitive radio (CR), power and area minimization, wideband spectrum sensing.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A 7.4-mW 200-MS/s Wideband Spectrum Sensing Digital Baseband Processor for Cognitive Radios

Yang

Čabrić

et al. 2012

IEEE J. Solid-State Circuits

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“…Furthermore, the testbed is equipped with several types of spectrum sensing devices. These include 6 USRP N210 Software Defined Radios [28] and 7 IMEC Sensing Engines [29]. The testbed is also equipped with mobile nodes which are suited for mobility experiments.…”

Section: Wireless Testbed Facility (W-ilabt)mentioning

confidence: 99%

“…The IMEC Sensing Engine is an integrated sensing device developed by IMEC, an interuniversity micro-electronics center [29]. The design of IMEC Sensing Engine targets on low-power and hand-held devices.…”

Section: Imec Sensing Engine (Hf Nodes)mentioning

confidence: 99%

Building accurate radio environment maps from multi-fidelity spectrum sensing data

et al. 2015

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In cognitive wireless networks, active monitoring of the wireless environment is often performed through advanced spectrum sensing and network sniffing. This leads to a set of spatially distributed measurements which are collected from different sensing devices. Nowadays, several interpolation methods (e.g. Kriging) are available and can be used to combine these measurements into a single globally accurate radio environment map that covers a certain geographical area. However, the calibration of multi-fidelity measurements from heterogeneous sensing devices, and the integration into a map is a challenging problem. In this paper, the auto-regressive co-Kriging model is proposed as a novel solution. The algorithm is applied to model measurements which are collected in a heterogeneous wireless testbed environment, and the effectiveness of the new methodology is validated.

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“…The imec sensing engine [37] is an integrated sensing device based on a custom design that targets for lowpower and hand-held devices. Hence, it is powered and configured over a single USB connection.…”

Section: Overview Of Sensing Devicesmentioning

confidence: 99%

Heterogeneous spectrum sensing: challenges and methodologies

Liu

Chwalisz

Fortuna

et al. 2015

J Wireless Com Network

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Distributed sensing is commonly used to obtain accurate spectral information over a large area. More and more heterogeneous devices are being incorporated in distributed sensing with the aim of obtaining more flexible sensing performance at lower cost. Although the concept of combining the strengths of various sensing devices is promising, the question of how to compare and combine the heterogeneous sensing results in a meaningful way is still open. To this end, this paper proposes a set of methodologies that are derived from several spectrum sensing experiments using heterogeneous sensing solutions. Each of the solutions offers different radio frequency front-end flexibility, sensing speed and accuracy and varies in the way the samples are processed and stored. The proposed methodologies cover four fundamental aspects in heterogeneous sensing: (i) storing experiment descriptions and heterogeneous results in a common data format; (ii) coping with different measurement resolutions (in time or frequency domain); (iii) calibrating devices under strictly controlled conditions and (iv) processing techniques to efficiently analyse the obtained results. We believe that this paper provides an important first step towards a standardized and systematic approach of heterogeneous sensing solutions.

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An integrated reconfigurable engine for multi-purpose sensing up to 6 GHz

Cited by 13 publications

References 3 publications

A 7.4-mW 200-MS/s Wideband Spectrum Sensing Digital Baseband Processor for Cognitive Radios

A 7.4-mW 200-MS/s Wideband Spectrum Sensing Digital Baseband Processor for Cognitive Radios

Building accurate radio environment maps from multi-fidelity spectrum sensing data

Heterogeneous spectrum sensing: challenges and methodologies

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