In this work, we study the effect of transistor downscaling in a wireless communication circuit for Body Dust application. The system requires a chip lateral size smaller than 10 µm miming the typical size of a red blood cell and so, supporting free circulation in human tissues. Moreover, an ultralow-power architecture is needed since the system is battery-less and wirelessly powered via acoustic power transfer. The aim of this paper is to present a data communication system for Body Dust systems, which works from the multiplexed sensor read-out front-end to the transmitter back-end taking account diagnostic information on different metabolite concentrations in human body. This work shows that scaling the architecture from a 0.18-µm to 28-nm CMOS processes, it is possible to improve both size and power consumption. The improvement is about 40 times in size (2000 µm 2 down to 50 µm 2 ) and two order of magnitude in average power consumption (10 µW to cents of nW).

From 0.18µm to 28nm CMOS Down-scaling for Data Links in Body Dust Applications / Barbruni, Gian Luca; Carrara, Sandro; Ros, Paolo Motto; Demarchi, Danilo. - ELETTRONICO. - (2021), pp. 1-4. ((Intervento presentato al convegno 2021 IEEE Sensors tenutosi a Sydney, Australia nel 31 Oct.-3 Nov. 2021 [10.1109/SENSORS47087.2021.9639639].

From 0.18µm to 28nm CMOS Down-scaling for Data Links in Body Dust Applications

Ros, Paolo Motto;Demarchi, Danilo
2021

Abstract

In this work, we study the effect of transistor downscaling in a wireless communication circuit for Body Dust application. The system requires a chip lateral size smaller than 10 µm miming the typical size of a red blood cell and so, supporting free circulation in human tissues. Moreover, an ultralow-power architecture is needed since the system is battery-less and wirelessly powered via acoustic power transfer. The aim of this paper is to present a data communication system for Body Dust systems, which works from the multiplexed sensor read-out front-end to the transmitter back-end taking account diagnostic information on different metabolite concentrations in human body. This work shows that scaling the architecture from a 0.18-µm to 28-nm CMOS processes, it is possible to improve both size and power consumption. The improvement is about 40 times in size (2000 µm 2 down to 50 µm 2 ) and two order of magnitude in average power consumption (10 µW to cents of nW).
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2947878