Coordinated Sparse Precoding for Distributed Integrated Sensing and Communication Systems

Sankar, RSP and Chatterjee, S and Chepuri, SP (2024) Coordinated Sparse Precoding for Distributed Integrated Sensing and Communication Systems. In: 25th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2024, 10 September 2024through 13 September 2024, Lucca, pp. 471-475.

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Abstract

In this paper, we address the problem of transmit precoding in distributed integrated sensing and communication (DISAC) systems. We introduce Generalized Sparse Coordinated MultiPoint transmission (GS-CoMP), a sparse precoding-based coordination strategy for ISAC. The aim is to achieve a backhaul rate reduction by designing the subset of base stations (BS) serving each user (UE). We design transmit precoders to minimize a weighted sum of total transmit power and backhaul rate while guaranteeing desired communication and radar sensing signal-to-interference-plus-noise ratios (SINRs). The underlying precoding problem is non-convex. We present a convex-relaxation-based solver to obtain the precoders and BS-UE association. Through numerical simulations, we demonstrate that GS-CoMP outperforms DISAC systems without cooperation while requiring a significantly reduced backhaul rate compared to DISAC systems with full cooperation. © 2024 IEEE.

Item Type:	Conference Paper
Publication:	IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC
Publisher:	Institute of Electrical and Electronics Engineers Inc.
Additional Information:	The copyright for this article belongs to publisher.
Keywords:	Beam forming networks; Beamforming; Radar interference, Cell-free system; Communications systems; Coordinated multi-point transmissions; Integrated sensing; Integrated sensing and communication; Precoders; Precoding; Sensing systems; Sparse transmit precoding; Transmit precoding, Signal to noise ratio
Department/Centre:	Division of Electrical Sciences > Electrical Communication Engineering
Date Deposited:	19 Nov 2024 20:41
Last Modified:	19 Nov 2024 20:41
URI:	http://eprints.iisc.ac.in/id/eprint/86774

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