Spectrum occupancy and interference model based on network experimentation in hospital |
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Author: | Mucchi, Lorenzo1; Vuohtoniemi, Risto2; Virk, Hasnain2; |
Organizations: |
1Department. of Information Engineering and CNIT, University of Florence, 50139 Florence, Italy 2Centre for Wireless Communications, University of Oulu, Finland 3Department of Engineering and CNIT, University of Ferrara, 44122 Ferrara, Italy
4Laboratory for Information & Decision Systems (LIDS), Massachusetts Institute of Technology, Cambridge, MA 02139, USA
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Format: | article |
Version: | accepted version |
Access: | open |
Online Access: | PDF Full Text (PDF, 9 MB) |
Persistent link: | http://urn.fi/urn:nbn:fi-fe2020070146540 |
Language: | English |
Published: |
Institute of Electrical and Electronics Engineers,
2020
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Publish Date: | 2020-07-01 |
Description: |
AbstractEmerging 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. see all
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Series: |
IEEE transactions on wireless communications |
ISSN: | 1536-1276 |
ISSN-E: | 1558-2248 |
ISSN-L: | 1536-1276 |
Volume: | 19 |
Issue: | 9 |
Pages: | 5666 - 5675 |
DOI: | 10.1109/TWC.2020.2995116 |
OADOI: | https://oadoi.org/10.1109/TWC.2020.2995116 |
Type of Publication: |
A1 Journal article – refereed |
Field of Science: |
213 Electronic, automation and communications engineering, electronics |
Subjects: | |
Funding: |
Academy of Finland's 6Genesis Flagship Grant 318927; European Union’s Horizon 2020 research and innovation programme under Grant 872752. |
Academy of Finland Grant Number: |
318927 |
Detailed Information: |
318927 (Academy of Finland Funding decision) |
Copyright information: |
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