Sankar, RSP and Chepuri, SP (2022) Beamforming in Hybrid RIS assisted Integrated Sensing and Communication Systems. In: 30th European Signal Processing Conference, EUSIPCO 2022, 29 August - 2 September 2022, Belgrade, pp. 1082-1086.
Full text not available from this repository.Abstract
In this paper, we consider a hybrid reconfigurable intelligent surface (RIS) comprising of active and passive elements to aid an integrated sensing and communication (ISAC) system serving multiple users and targets. Active elements in a hybrid RIS include amplifiers and phase shifters, whereas passive elements include only phase shifters. We jointly design transmit beamformers and RIS coefficients, i.e., amplifier gains and phase shifts, to maximize the worst-case target illumination power while ensuring a desired signal-to-interference-plus-noise ratio for communication links and constraining the RIS noise power due to the active elements. Since this design problem is not convex, we propose a solver based on alternating optimization to design the transmit beamformers and RIS coefficients. Through numerical simulations, we demonstrate that the performance of the proposed hybrid RIS assisted ISAC system is significantly better than that of passive RIS assisted ISAC systems as well as ISAC systems without RIS even when only a small fraction of the hybrid RIS contains active elements.
| 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: | Signal to noise ratio, Active reconfigurable intelligent surface; Hybrid reconfigurable intelligent surface; Integrated sensing; Integrated sensing and communication; Reconfigurable; Reconfigurable intelligent surface; Sensing systems; Transmit beamforming, Beamforming |
| Department/Centre: | Division of Electrical Sciences > Electrical Communication Engineering |
| Date Deposited: | 22 Nov 2022 07:21 |
| Last Modified: | 22 Nov 2022 07:21 |
| URI: | https://eprints.iisc.ac.in/id/eprint/77905 |
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