Parallel in-memory wireless computing

Authors:
  • CWCong Wang
    Cong Wang
  • GRGong-Jie Ruan
    Gong-Jie Ruan
  • ZYZai-Zheng Yang
    Zai-Zheng Yang
  • XYXing-Jian Yangdong
    Xing-Jian Yangdong
  • YLYixiang Li
    Yixiang Li
  • LWLiang Wu
    Liang Wu
  • YGYingmeng Ge
    Yingmeng Ge
  • YZYichen Zhao
    Yichen Zhao
  • CPChen Pan
    Chen Pan
  • WWWei Wei
    Wei Wei
  • LWLi-Bo Wang
    Li-Bo Wang
  • BCBin Cheng
    Bin Cheng
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Abstract
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. 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

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