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Parallel in-memory wireless computing

delete2023-05-08
delete18
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OA
AI
C
Cong Wang
G
Gong-Jie Ruan
Z
Zai-Zheng Yang
X
Xing-Jian Yangdong
李遗祥 cover
李遗祥 (Yixiang Li)
吴亮 cover
吴亮 (Liang Wu)
Y
Yingmeng Ge
Y
Yichen Zhao
C
Chen Pan
W
Wei Wei
L
Libo Wang
B
Bin Cheng
Z
Zaichen Zhang
C
Chuan Zhang
S
Shi‐Jun Liang
F
Feng Miao *
DOI:10.1038/s41928-023-00965-5delete
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Abstract

Abstract

En 中文
A parallel in-memory wireless computing scheme that is based on memristive crossbar arrays can provide energy-efficient wireless data transmission using radio, acoustic and light waves. Parallel wireless digital communication with ultralow power consumption is critical for emerging edge technologies such as 5G and Internet of Things. However, the physical separation between digital computing units and analogue transmission units in traditional wireless technology leads to high power consumption. Here we report a parallel in-memory wireless computing scheme. The approach combines in-memory computing with wireless communication using memristive crossbar arrays. We show that the system can be used for the radio transmission of a binary stream of 480 bits with a bit error rate of 0/480. The in-memory wireless computing uses two orders of magnitude less power than conventional technology (based on digital-to-analogue and analogue-to-digital converters). We also show that the approach can be applied to acoustic and optical wireless communications.
Keywords:
COMMUNICATION
PERFORMANCE

Journal

Nature Electronics cover
Nature Electronics
IF:
40.9
Papers:
1.7K
Citations:
2.1W

Organization

S
southeast university - china
Scholars:
5.3W
Papers: 4.9W
Citations: 57
N
nanjing university
Scholars:
7.7W
Papers: 5.6W
Citations: 87