Title :
0.6 V operation, 26% smaller voltage ripple, 9% energy efficient boost converter with adaptively optimized comparator bias-current for ReRAM program in low power IoT embedded applications
Author :
Tomoya Ishii;Shogo Hachiya;Sheyang Ning;Masahiro Tanaka;Ken Takeuchi
Author_Institution :
Department of Electrical, Electronic, and Communication Engineering, Chuo University, Tokyo, Japan
Abstract :
The Internet of Things (IoT) applies the sensors and MCUs on various machines, devices and equipment, and connect them through internet. The emerging non-volatile memory, Resistive Random Access Memory (ReRAM) is suitable for the sensor data storage because of the low voltage and low power program operation. In this paper, the proposed 0. 6 V operation, 0.27 mm2 die size boost converter is demonstrated to achieve low ReRAM program voltage ripple (Cripple) and high energy efficiency (η), simultaneously, by using the 2 μA to 8 μA adaptive comparator current (ICMP). In detail, for one ReRAM cell program, the proposed boost converter reduces VRIPPLE by 26% compared with the conventional boost converter with fixed 2 μA small ICMP. For 16 ReRAM cells program, the proposed boost converter improves 8.9% energy efficiency compared with the conventional boost converter with fixed 8 μA large ICMP.
Keywords :
"Energy efficiency","Microprocessors","Delays","Arrays","Proposals","Voltage measurement"
Conference_Titel :
Solid-State Circuits Conference (A-SSCC), 2015 IEEE Asian
DOI :
10.1109/ASSCC.2015.7387433