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
@article{arxiv.2310.00288,
title = {Parallel in-memory wireless computing},
author = {Cong Wang and Gong-Jie Ruan and Zai-Zheng Yang and Xing-Jian Yangdong and Yixiang Li and Liang Wu and Yingmeng Ge and Yichen Zhao and Chen Pan and Wei Wei and Li-Bo Wang and Bin Cheng and Zaichen Zhang and Chuan Zhang and Shi-Jun Liang and Feng Miao},
journal= {arXiv preprint arXiv:2310.00288},
year = {2023}
}