Neuromorphic Integrated Sensing and Communications

Jiechen Chen, Nicolas Skatchkovsky, Osvaldo Simeone

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

Neuromorphic computing is an emerging technology that support event-driven data processing for applications requiring efficient online inference and/or control. Recent work has introduced the concept of neuromorphic communications, whereby neuromorphic computing is integrated with impulse radio (IR) transmission to implement low-energy and low-latency remote inference in wireless Internet-of-Things (IoT) networks. In this letter, we introduce neuromorphic integrated sensing and communications (N-ISAC), a novel solution that enables efficient online data decoding and radar sensing. N-ISAC leverages a common IR waveform for the dual purpose of conveying digital information and of detecting the presence or absence of a radar target. A spiking neural network (SNN) is deployed at the receiver to decode digital data and to detect the radar target using directly the received signal. The SNN operation is optimized by balancing performance metrics for data communications and radar sensing, highlighting synergies and trade-offs between the two applications.

Original languageEnglish (US)
Pages (from-to)476-480
Number of pages5
JournalIEEE Wireless Communications Letters
Volume12
Issue number3
DOIs
StatePublished - Mar 1 2023

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Control and Systems Engineering

Keywords

  • Neuromorphic computing
  • impulse radio
  • integrated sensing and communications (ISAC)
  • spiking neural network

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