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Measurement based stochastic channel model for 60 GHz mmWave industrial communications
Electronics and Computer Science Department, Mondragon Unibertsitatea, Mondragon, Spain.ORCID iD: 0000-0001-7626-5206
University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electrical Engineering, Mathematics and Science, Electronics.ORCID iD: 0000-0001-5429-7223
MaxLinear Incorporated, Carlsbad, USA.ORCID iD: 0000-0002-4373-8457
Electronics and Computer Science Department, Mondragon Unibertsitatea, Mondragon, Spain.ORCID iD: 0000-0002-2728-8978
2023 (English)In: IEEE Open Journal of the Industrial Electronics Society, E-ISSN 2644-1284, Vol. 4, p. 603-617Article in journal (Refereed) Published
Abstract [en]

Communications in the mmWave spectrum are gaining relevance in the last years as they are a promising candidate to cope with the increasing demand of throughput and latency in different use cases. Nowadays several efforts have been carried out to characterize the propagation medium of these signals with the aim of designing their corresponding communication protocols accordingly, and a wide variety of both outdoor/indoor locations have already been studied. However, very few works endorse industrial scenarios, which are particularly demanding due to their stringent requirements in terms of reliability, determinism and latency. This work aims to provide an insight of the propagation of 60 GHz mmWave signals in a typical industrial workshop in order to explore the particularities of this kind of scenario. In order to achieve this, an extensive measurement campaign has been carried out in this environment and a stochastic channel model has been proposed and validated.

Place, publisher, year, edition, pages
IEEE , 2023. Vol. 4, p. 603-617
Keywords [en]
Industrial communication, millimeter wave measurements, millimeter wave propagation
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:hig:diva-43315DOI: 10.1109/ojies.2023.3334299Scopus ID: 2-s2.0-85178032718OAI: oai:DiVA.org:hig-43315DiVA, id: diva2:1814093
Available from: 2023-11-23 Created: 2023-11-23 Last updated: 2024-01-02Bibliographically approved

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Björsell, Niclas

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CiteExportLink to record
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Citation style
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