This paper deals with a comparative analysis of the performances of two different communications standards for wireless body area networks (WBAN): ETSI SmartBAN and Bluetooth low energy (BLE). The performance comparison is carried out in additive white Gaussian noise (AWGN) channel as well as in multipath fading channel. Aggregate interference is also taken into account to show which technology tolerates interference better. Both SmartBAN and BLE are possible wireless solutions to implement services like delivering individual's health-related data. The results show that the SmartBAN can outperform BLE in both AWGN and fading channel, in particular, when interference is present, since SmartBAN can take advantage of BCH and repetition features.

Performance of wireless body area networks for health: ETSI SmartBAN or Bluetooth? / Mucchi, Lorenzo; Jayousi, Sara; Caputo, Stefano; Hamalainen, Matti; Paso, Tuomas; Anzai, Daisuke. - ELETTRONICO. - (2021), pp. 0-0. (Intervento presentato al convegno 34th General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2021 tenutosi a ita nel 2021) [10.23919/ursigass51995.2021.9560374].

Performance of wireless body area networks for health: ETSI SmartBAN or Bluetooth?

Mucchi, Lorenzo
;
Jayousi, Sara;Caputo, Stefano;
2021

Abstract

This paper deals with a comparative analysis of the performances of two different communications standards for wireless body area networks (WBAN): ETSI SmartBAN and Bluetooth low energy (BLE). The performance comparison is carried out in additive white Gaussian noise (AWGN) channel as well as in multipath fading channel. Aggregate interference is also taken into account to show which technology tolerates interference better. Both SmartBAN and BLE are possible wireless solutions to implement services like delivering individual's health-related data. The results show that the SmartBAN can outperform BLE in both AWGN and fading channel, in particular, when interference is present, since SmartBAN can take advantage of BCH and repetition features.
2021
2021 34th General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2021
34th General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2021
ita
2021
Mucchi, Lorenzo; Jayousi, Sara; Caputo, Stefano; Hamalainen, Matti; Paso, Tuomas; Anzai, Daisuke
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1415173
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