Beamforming Design for Integrated Sensing and Communications Using Uplink-Downlink Duality
<|reference_start|>Beamforming Design for Integrated Sensing and Communications Using Uplink-Downlink Duality: This paper presents a novel optimization framework for beamforming design in integrated sensing and communication systems where a base station seeks to minimize the Bayesian Cram\'er-Rao bound of a sensing problem while satisfying quality of service constraints for the communication users. Prior approaches formulate the design problem as a semidefinite program for which acquiring a beamforming solution is computationally expensive. In this work, we show that the computational burden can be considerably alleviated. To achieve this, we transform the design problem to a tractable form that not only provides a new understanding of Cram\'er-Rao bound optimization, but also allows for an uplink-downlink duality relation to be developed. Such a duality result gives rise to an efficient algorithm that enables the beamforming design problem to be solved at a much lower complexity as compared to the-state-of-the-art methods.<|reference_end|>
@article{attiah2024beamforming,
    title={Beamforming Design for Integrated Sensing and Communications Using
  Uplink-Downlink Duality},
    author={Kareem M. Attiah and Wei Yu},
    journal={arXiv preprint arXiv:2404.13392},
    year={2024},
    archivePrefix={arXiv},
    eprint={2404.13392},
    primaryClass={cs.IT eess.SP math.IT math.OC}
}