# Parallel in-memory wireless computing

arXiv: https://arxiv.org/abs/2310.00288 · HTML: https://mlsanity.com/paper/2310.00288/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 30 Sep 2023.

## Built on by (most cited first, 1 of 1)

- [3D aperture-engineered diffractive neural networks for super-resolution electromagnetic wave computing](https://mlsanity.com/paper/2603.00995/) (2026)

## Abstract (arXiv)

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