Abstract
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.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 5666-5675 |
| Number of pages | 10 |
| Journal | IEEE Transactions on Wireless Communications |
| Volume | 19 |
| Issue number | 9 |
| DOIs | |
| State | Published - Jun 1 2020 |
| Externally published | Yes |
Bibliographical note
KAUST Repository Item: Exported on 2022-06-14Acknowledged KAUST grant number(s): OSR-2015-SENSORS-2700
Acknowledgements: This work was supported in part by the European Telecommunications Standards Institute (ETSI) SmartBAN, in part by the European Union’s Horizon 2020 Research and Innovation Programme under Grant 872752 and Grant 871249, in part by the Academy of Finland 6Genesis Flagship under Grant 318927, and in part by the KAUST Sensor Research Initiative under Award OSR-2015-SENSORS-2700.
This publication acknowledges KAUST support, but has no KAUST affiliated authors.