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A Robust Beamforming for Intergretd Sensing and Communications Systems

Published: 04 December 2024 Publication History

Abstract

We propose a robust beamforming design methodology for integrated sensing and communications beamforms. The beamforming design aims to address channel uncertainties in the communication system by optimizing the sensing beamform. Assuming the Channel State Information (CSI) error is elliptically bounded, we investigate the robust integrated sensing and communication (ISAC) beamforming design problem, focusing on minimizing the Cramér-Rao bound (CRB) under a signal-to-noise ratio (SINR) threshold constraint. The problem is addressed through distributed optimization using the S-procedure and solved with the SDR method. Simulation results verify the effectiveness of the proposed CRB_min method.

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cover image ACM Conferences
ACM MobiCom '24: Proceedings of the 30th Annual International Conference on Mobile Computing and Networking
December 2024
2476 pages
ISBN:9798400704895
DOI:10.1145/3636534
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Published: 04 December 2024

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Author Tags

  1. integrated sensing and communication (ISAC)
  2. channel state information (CSI) error
  3. cramér-rao bound (CRB)
  4. S-procedure

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