Parallel in-memory wireless computing

TL;DR

This paper introduces a novel parallel in-memory wireless computing scheme that integrates in-memory computing with wireless communication, significantly reducing power consumption for edge technologies like 5G and IoT.

Contribution

It presents a new approach combining memristive crossbar arrays with wireless communication, enabling ultralow power digital transmission for the first time.

Findings

Achieved error-free binary stream transmission of 480 bits.

System consumes two orders of magnitude less power than traditional methods.

Applicable to acoustic and optical wireless communications.

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