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Onboard Spectral Analysis for Low-complexity IoT Devices
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Systems and Technology.
Ostwestfalen-Lippe University of Applied Sciences, 326 57 Lemgo, Germany.
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Systems and Technology.ORCID iD: 0000-0003-3717-7793
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Systems and Technology.ORCID iD: 0000-0003-0873-7827
2020 (English)In: IEEE Access, E-ISSN 2169-3536, Vol. 8, p. 43027-43045Article in journal (Refereed) Published
Abstract [en]

The lack of coordinated spectrum access for IoT wireless technologies in unlicensed bands creates inefficient spectrum usage and poses growing concerns in several IoT applications. Spectrum awareness becomes then crucial, especially in the presence of strict quality-of-service (QoS) requirements and mission-critical communication. In this work, we propose a lightweight spectral analysis framework designed for strongly resource-constrained devices, which are the norm in IoT deployments. The proposed solution enables model-based reconstruction of the spectrum of single radio-bursts entirely onboard without DFT processing. The spectrum sampling exploits pattern-based frequency sweeping, which enables the spectral analysis of short radio-bursts while minimizing the sampling error induced by non-ideal sensing hardware. We carry out an analysis of the properties of such sweeping patterns, derive useful theoretical error bounds, and explain how to design optimal patterns for radio front-ends with different characteristics. The experimental campaign shows that the proposed solution enables the estimation of central frequency, bandwidth, and spectral shape of signals at runtime by using a strongly hardware-limited radio platform. Finally, we test the potential of the proposed solution in combination with a proactive blacklisting scheme, allowing a substantial improvement in real-time QoS of a radio link under interference.

Place, publisher, year, edition, pages
2020. Vol. 8, p. 43027-43045
Keywords [en]
Spectral analysis, Radio frequency, Interference, Band-pass filters, Quality of service, Microwave filters, Hardware, Central frequency estimation, cognitive radio, dynamic spectrum access, interference, Internet-of-things, jamming, spectral analysis, spectrum sensing, unlicensed bands, wireless coexistence
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:miun:diva-38601DOI: 10.1109/ACCESS.2020.2977842Scopus ID: 2-s2.0-85082017601OAI: oai:DiVA.org:miun-38601DiVA, id: diva2:1412949
Available from: 2020-03-09 Created: 2020-03-09 Last updated: 2020-04-01Bibliographically approved

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Grimaldi, SimoneMahmood, AamirGidlund, Mikael

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