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Understanding of RF Cloud Interference Measurement and Modeling
Importance of spectrum regulation and management was first revealed on May of 1985 after the release of unlicensed ISM bands resulting in emergence of Wi-Fi, Bluetooth and many other wireless technologies that has affected our daily lives by enabling the emergence of the smart world and IoT era. Tod...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Springer US
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8683812/ https://www.ncbi.nlm.nih.gov/pubmed/34955626 http://dx.doi.org/10.1007/s10776-021-00541-8 |
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author | Pahlavan, Kaveh |
author_facet | Pahlavan, Kaveh |
author_sort | Pahlavan, Kaveh |
collection | PubMed |
description | Importance of spectrum regulation and management was first revealed on May of 1985 after the release of unlicensed ISM bands resulting in emergence of Wi-Fi, Bluetooth and many other wireless technologies that has affected our daily lives by enabling the emergence of the smart world and IoT era. Today, the idea of a liberated spectrum is circulating around, which can potentially direct wireless networking industry into another revolution by enabling a new paradigm in intelligent spectrum regulation and management. The RF signal radiated from IoT devices as well as other wireless technologies create an RF cloud causing co- and cross-interference to each other. Lack of a science and technology for understanding, measurement, and modeling of the RF cloud interference in near real-time results in inefficient utilization of the precious spectrum, a unique natural resource shared among all wireless devices of the universe in frequency, time, and space. Near real time forecasting of the RF cloud interference is essential to pursue the path to the optimal utilization of spectrum and a liberated spectrum management. This paper presents a historical perspective on the evolution of spectrum regulation and management, explains the diversified meanings of interference for different sectors of the wireless industry, and presents a path for implementing a theoretical foundation for interference monitoring and forecasting to enable the emergence of a liberated spectrum industry and a new paradigm in spectrum management and regulations. |
format | Online Article Text |
id | pubmed-8683812 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-86838122021-12-20 Understanding of RF Cloud Interference Measurement and Modeling Pahlavan, Kaveh Int J Wirel Inf Netw Article Importance of spectrum regulation and management was first revealed on May of 1985 after the release of unlicensed ISM bands resulting in emergence of Wi-Fi, Bluetooth and many other wireless technologies that has affected our daily lives by enabling the emergence of the smart world and IoT era. Today, the idea of a liberated spectrum is circulating around, which can potentially direct wireless networking industry into another revolution by enabling a new paradigm in intelligent spectrum regulation and management. The RF signal radiated from IoT devices as well as other wireless technologies create an RF cloud causing co- and cross-interference to each other. Lack of a science and technology for understanding, measurement, and modeling of the RF cloud interference in near real-time results in inefficient utilization of the precious spectrum, a unique natural resource shared among all wireless devices of the universe in frequency, time, and space. Near real time forecasting of the RF cloud interference is essential to pursue the path to the optimal utilization of spectrum and a liberated spectrum management. This paper presents a historical perspective on the evolution of spectrum regulation and management, explains the diversified meanings of interference for different sectors of the wireless industry, and presents a path for implementing a theoretical foundation for interference monitoring and forecasting to enable the emergence of a liberated spectrum industry and a new paradigm in spectrum management and regulations. Springer US 2021-12-18 2022 /pmc/articles/PMC8683812/ /pubmed/34955626 http://dx.doi.org/10.1007/s10776-021-00541-8 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Pahlavan, Kaveh Understanding of RF Cloud Interference Measurement and Modeling |
title | Understanding of RF Cloud Interference Measurement and Modeling |
title_full | Understanding of RF Cloud Interference Measurement and Modeling |
title_fullStr | Understanding of RF Cloud Interference Measurement and Modeling |
title_full_unstemmed | Understanding of RF Cloud Interference Measurement and Modeling |
title_short | Understanding of RF Cloud Interference Measurement and Modeling |
title_sort | understanding of rf cloud interference measurement and modeling |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8683812/ https://www.ncbi.nlm.nih.gov/pubmed/34955626 http://dx.doi.org/10.1007/s10776-021-00541-8 |
work_keys_str_mv | AT pahlavankaveh understandingofrfcloudinterferencemeasurementandmodeling |