Learning to Precode for Integrated Sensing and Communication Systems

Sankar, RSP and Nair, SS and Doshi, S and Chepuri, SP (2023) Learning to Precode for Integrated Sensing and Communication Systems. In: 31st European Signal Processing Conference, EUSIPCO 2023, 4 - 8 September 2023, Helsinki, pp. 695-699.

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Abstract

In this paper, we present an unsupervised learning neural model to design transmit precoders for integrated sensing and communication (ISAC) systems to maximize the worst-case target illumination power while ensuring a minimum signal-to-interference-plus-noise ratio (SINR) for all the users. The problem of learning transmit precoders from uplink pilots and echoes can be viewed as a parameterized function estimation problem and we propose to learn this function using a neural network model. To learn the neural network parameters, we develop a novel loss function based on the first-order optimality conditions to incorporate the SINR and power constraints. Through numerical simulations, we demonstrate that the proposed method outperforms traditional optimization-based methods in presence of channel estimation errors while incurring lesser computational complexity and generalizing well across different channel conditions that were not shown during training. © 2023 European Signal Processing Conference, EUSIPCO. All rights reserved.

Item Type:	Conference Paper
Publication:	European Signal Processing Conference
Publisher:	European Signal Processing Conference, EUSIPCO
Additional Information:	The copyright for this article belongs to European Signal Processing Conference, EUSIPCO.
Keywords:	Learning systems; Numerical methods; Signal interference; Signal to noise ratio; Unsupervised learning, Communications systems; Integrated sensing; Integrated sensing and communication; Learn+; Neural modelling; Neural-networks; Precoders; Precoding; Sensing systems; Signalto-interference-plus-noise ratios (SINR), Beamforming
Department/Centre:	Division of Electrical Sciences > Electrical Communication Engineering Division of Mechanical Sciences > Department of Design & Manufacturing (formerly Centre for Product Design & Manufacturing)
Date Deposited:	29 Feb 2024 05:13
Last Modified:	29 Feb 2024 05:13
URI:	https://eprints.iisc.ac.in/id/eprint/83801

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