DocumentCode :
734267
Title :
Sub-picowatt retention mode TFET memory for CMOS sensor processing nodes
Author :
Vladimirescu, Andrei ; Anghel, Costin ; Amara, Amara ; Gupta, Navneet ; Makosiej, Adam
Author_Institution :
Inst. Super. d´Electron. de Paris ISEP, Paris, France
fYear :
2015
fDate :
18-19 June 2015
Firstpage :
266
Lastpage :
270
Abstract :
This paper describes the applicability of Tunnel FETs (TFET) to ultra-low-power sensor-node embedded Static Random-Access Memories (SRAM). Numerical TCAD device simulations were used first to characterize and optimize the performance of the TFET. The optimized TFETs show a steeper subthreshold slope than CMOS leading to a 5 orders of magnitude reduction in standby current. A look-up table model for circuit simulation of the TFET was developed based on characteristics obtained from TCAD simulations. A TFET SRAM cell is proposed and its performance is analyzed. Our novel 8T TFET SRAM cell operates at Vdd=1V or lower. The Read and Write Static Noise Margins (SNM) are evaluated at 120mV and 200mV, with the operation speed of 3.8GHz and 800MHz Vdd=1V in read and write, respectively. The cell leakage is less than 5fA at Vdd=1V. A sensor node architecture for implementation in a hybrid CMOS/TFET process with a large memory is proposed where the memory consumes as little as 2 fW/cell or 48 pW for a 4 kB array.
Keywords :
CMOS memory circuits; SRAM chips; circuit simulation; field effect transistors; integrated circuit noise; numerical analysis; semiconductor device models; sensors; table lookup; tunnel transistors; CMOS sensor processing nodes; SNM; TFET SRAM cell; TFET memory; circuit simulation; frequency 3.8 GHz; hybrid CMOS-TFET process; look-up table model; numerical TCAD device simulations; sensor node architecture; static noise margins; static random-access memories; subpicowatt retention mode; tunnel FET; ultra-low-power sensor-node; voltage 1 V; voltage 120 mV; voltage 200 mV; Arrays; CMOS integrated circuits; Capacitance; Logic gates; Microprocessors; Random access memory; Energy-Delay; SRAM; Sensor Node Architecture; Signal-to-Noise Margin (SNM); TFET;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advances in Sensors and Interfaces (IWASI), 2015 6th IEEE International Workshop on
Conference_Location :
Gallipoli
Type :
conf
DOI :
10.1109/IWASI.2015.7184974
Filename :
7184974
Link To Document :
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