A 144-fJ/Bit Reliable and Compact TRNG Based on the Diffusive Resistance of 3-D Resistive Random Access Memory

被引:2
|
作者
Li, Xiaoran [1 ]
Wang, Yiming [2 ]
Yang, Yiming [1 ]
Lv, Shidong [1 ]
Luo, Qing [3 ,4 ]
Wang, Xinghua [1 ]
Xu, Xiaoxin [3 ,4 ]
Lei, Dengyun [1 ]
Zhang, Feng [3 ,4 ]
机构
[1] Beijing Inst Technol, Sch Integrated Circuits & Elect, Beijing 100081, Peoples R China
[2] UCL, Dept Elect & Elect Engn, London WC1E 7JE, England
[3] Chinese Acad Sci, Inst Microelect, Beijing 100029, Peoples R China
[4] Peng Cheng Lab, Shenzhen 518038, Guangdong, Peoples R China
基金
中国国家自然科学基金;
关键词
3-D resistive random access memory (RRAM); Internet of Things (IoT) applications; true random number generator (TRNG); RANDOM NUMBER GENERATION; FLASH MEMORY; RNG;
D O I
10.1109/TED.2023.3288839
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In this work, we harnessed the diffusiveness of the resistant states in 3-D resistive random access memory (RRAM) array and implemented a true random number generator (TRNG). The fluctuation of the resistance states serves as the random source, which is then amplified by peripheral ring oscillator (RO) circuits. The peripheral circuits are fabricated in a 55-nm CMOS process. Measurement results show that the TRNG supports a maximum throughput of 1 Gb/s and passes the NIST test across $-$ 40 $<^>{\circ}$ C to 125 $<^>{\circ}$ C. The RRAM cells enjoy good robustness under high temperature, as the baking experiment shows. The TRNG obviates the need for calibration circuits and requires no startup circuits. The proposed work harvests the fluctuation of analog resistance of RRAM cells, enriching the TRNG family aimed for Internet of Things (IoT) application.
引用
收藏
页码:4139 / 4144
页数:6
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