University of Oulu

L. Mucchi et al., "Spectrum Occupancy and Interference Model Based on Network Experimentation in Hospital," in IEEE Transactions on Wireless Communications, vol. 19, no. 9, pp. 5666-5675, Sept. 2020, doi: 10.1109/TWC.2020.2995116

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
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 9 MB)
Persistent link:
Language: English
Published: Institute of Electrical and Electronics Engineers, 2020
Publish Date: 2020-07-01


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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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
Type of Publication: A1 Journal article – refereed
Field of Science: 213 Electronic, automation and communications engineering, electronics
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)
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