TY - JOUR
T1 - Neuromorphic Integrated Sensing and Communications
AU - Chen, Jiechen
AU - Skatchkovsky, Nicolas
AU - Simeone, Osvaldo
N1 - Funding Information:
The work of Jiechen Chen was supported by the China Scholarship Council and King’s College London for their Joint Full-Scholarship (K-CSC) under Grant CSC202108440223. The work of Nicolas Skatchkovsky and Osvaldo Simeone was supported by the European Research Council (ERC) through the European Union’s Horizon 2020 Research and Innovation Programme under Agreement 725731
Publisher Copyright:
© 2012 IEEE.
PY - 2023/3/1
Y1 - 2023/3/1
N2 - 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.
AB - 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.
KW - Neuromorphic computing
KW - impulse radio
KW - integrated sensing and communications (ISAC)
KW - spiking neural network
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U2 - 10.1109/LWC.2022.3231388
DO - 10.1109/LWC.2022.3231388
M3 - Article
AN - SCOPUS:85146222275
SN - 2162-2337
VL - 12
SP - 476
EP - 480
JO - IEEE Wireless Communications Letters
JF - IEEE Wireless Communications Letters
IS - 3
ER -