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Active RIS-Aided ISAC Systems: Beamforming Design and Performance Analysis
DOI:10.1109/TCOMM.2023.3332856.png)
摘要
En 中文
This paper considers an active reconfigurable intelligent surface (RIS)-aided integrated sensing and communication (ISAC) system. We aim to maximize radar signal-to-interference-plus-noise-ratio (SINR) by jointly optimizing the beamforming matrix at a dual-function radar-communication (DFRC) base station (BS) and the reflecting coefficients at an active RIS subject to the quality of service (QoS) constraints of communication user equipments (UEs) and the transmit power constraints of active RIS and DFRC BS. To tackle the optimization problem, the majorization-minimization (MM) algorithm is applied to address the nonconvex radar SINR objective function, and the resulting quartic problem is solved by developing an semidefinite relaxation (SDR)-based approach. Moreover, we derive the scaling order of the radar SINR with a large number of reflecting elements. Next, the transmit power allocation problem and the deployment strategy of the active RIS are studied with a moderate number of reflecting elements. Finally, we validate the potential of the active RIS in ISAC systems compared to passive RIS. Additionally, we deliberate on several open problems that remain for future research.
Keyword:
Sensors
Radar
Interference
Signal to noise ratio
Array signal processing
Radar antennas
Quality of service
Reconfigurable intelligent surface (RIS)
intelligent reflecting surface (IRS)
active RIS
integrated sensing and communication (ISAC)
dual-function radar-communication (DFRC)
期刊
IF:
8.3
论文数:
1.2W
被引数:
3.6W
机构
引用论文
Beamforming in Integrated Sensing and Communication Systems With Reconfigurable Intelligent Surfaces
Integrated Sensing and Communication with Reconfigurable Intelligent Surfaces: Opportunities, Applications, and Future Directions具有可重构智能表面的集成传感和通信: 机遇,应用和未来方向

