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Neuromorphic Integrated Sensing and Communications
arXiv - EE - Signal Processing Pub Date : 2022-09-24 , DOI: arxiv-2209.11891
Jiechen Chen, Nicolas Skatchkovsky, Osvaldo Simeone

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 IoT networks. In this paper, 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 detect the radar target using directly the received signal. The SNN operation is optimized by balancing performance metric for data communications and radar sensing, highlighting synergies and trade-offs between the two applications.

中文翻译:

神经形态集成传感和通信

神经形态计算是一种新兴技术,支持事件驱动的数据处理,适用于需要高效在线推理和/或控制的应用程序。最近的工作引入了神经形态通信的概念,其中神经形态计算与脉冲无线电 (IR) 传输相结合,以在无线物联网网络中实现低能量和低延迟的远程推理。在本文中,我们介绍了神经形态集成传感和通信 (N-ISAC),这是一种能够实现高效在线数据解码和雷达传感的新型解决方案。N-ISAC 利用通用 IR 波形来实现传输数字信息和检测雷达目标是否存在的双重目的。一个脉冲神经网络 (SNN) 部署在接收器上,用于解码数字数据并直接使用接收到的信号检测雷达目标。SNN 操作通过平衡数据通信和雷达传感的性能指标进行了优化,突出了两个应用程序之间的协同作用和权衡。
更新日期:2022-09-27
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