Spectrum Occupancy and Interference Model based on Network Experimentation in Hospital

Emerging healthcare radio technologies are designed to operate in the 2.4GHz industrial, scientific and medical (ISM) band. Since both standardized (Bluetooth and Wi-Fi) and non-standardized (proprietary) devices use the same frequency band, the aggregate interference may significantly affect the pe...

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Main Authors: Mucchi, Lorenzo, Vuohtoniemi, Risto, Virk, Hasnain, Conti, Andrea, Hamalainen, Matti, Iinatti, Jari, Win, Moe Z
Other Authors: Massachusetts Institute of Technology. Laboratory for Information and Decision Systems
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE) 2021
Online Access:https://hdl.handle.net/1721.1/134028
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author Mucchi, Lorenzo
Vuohtoniemi, Risto
Virk, Hasnain
Conti, Andrea
Hamalainen, Matti
Iinatti, Jari
Win, Moe Z
author2 Massachusetts Institute of Technology. Laboratory for Information and Decision Systems
author_facet Massachusetts Institute of Technology. Laboratory for Information and Decision Systems
Mucchi, Lorenzo
Vuohtoniemi, Risto
Virk, Hasnain
Conti, Andrea
Hamalainen, Matti
Iinatti, Jari
Win, Moe Z
author_sort Mucchi, Lorenzo
collection MIT
description Emerging healthcare radio technologies are designed to operate in the 2.4GHz industrial, scientific and medical (ISM) band. Since both standardized (Bluetooth and Wi-Fi) and non-standardized (proprietary) devices use the same frequency band, the aggregate interference may significantly affect the performance of medical wireless systems. This paper characterizes the spatiotemporal spectrum occupancy and proposes models for the aggregate interference in hospital environments. In particular, time-frequency and cluster-based statistical models for the aggregate interference are developed based on network experimentation. The proposed models enable the design of wireless networks for e-health applications and medical services.
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spelling mit-1721.1/1340282023-03-24T19:10:04Z Spectrum Occupancy and Interference Model based on Network Experimentation in Hospital Mucchi, Lorenzo Vuohtoniemi, Risto Virk, Hasnain Conti, Andrea Hamalainen, Matti Iinatti, Jari Win, Moe Z Massachusetts Institute of Technology. Laboratory for Information and Decision Systems Emerging healthcare radio technologies are designed to operate in the 2.4GHz industrial, scientific and medical (ISM) band. Since both standardized (Bluetooth and Wi-Fi) and non-standardized (proprietary) devices use the same frequency band, the aggregate interference may significantly affect the performance of medical wireless systems. This paper characterizes the spatiotemporal spectrum occupancy and proposes models for the aggregate interference in hospital environments. In particular, time-frequency and cluster-based statistical models for the aggregate interference are developed based on network experimentation. The proposed models enable the design of wireless networks for e-health applications and medical services. 2021-10-27T19:57:42Z 2021-10-27T19:57:42Z 2020 2021-05-05T17:30:13Z Article http://purl.org/eprint/type/JournalArticle https://hdl.handle.net/1721.1/134028 en 10.1109/TWC.2020.2995116 IEEE Transactions on Wireless Communications Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf Institute of Electrical and Electronics Engineers (IEEE) Other repository
spellingShingle Mucchi, Lorenzo
Vuohtoniemi, Risto
Virk, Hasnain
Conti, Andrea
Hamalainen, Matti
Iinatti, Jari
Win, Moe Z
Spectrum Occupancy and Interference Model based on Network Experimentation in Hospital
title Spectrum Occupancy and Interference Model based on Network Experimentation in Hospital
title_full Spectrum Occupancy and Interference Model based on Network Experimentation in Hospital
title_fullStr Spectrum Occupancy and Interference Model based on Network Experimentation in Hospital
title_full_unstemmed Spectrum Occupancy and Interference Model based on Network Experimentation in Hospital
title_short Spectrum Occupancy and Interference Model based on Network Experimentation in Hospital
title_sort spectrum occupancy and interference model based on network experimentation in hospital
url https://hdl.handle.net/1721.1/134028
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