TY - GEN
T1 - Hybrid RIS-Assisted MIMO Integrated Sensing and Communication System
AU - Liu, Zhuoyang
AU - Zhang, Haiyang
AU - Huang, Tianyao
AU - Xu, Feng
AU - Eldar, Yonina C.
N1 - Publisher Copyright: © 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - The reconfigurable intelligent surface (RIS), with the ability to program the radio environment, is considered as an essential component of the integrated sensing and communication (ISAC) system. In this paper, we propose a hybrid RIS (HRIS)-assisted multiple-input multiple-output (MIMO) ISAC system, where the HRIS is externally controllable and serves the dual function of reflecting the transmit signal to communication users and receiving radar echoes. Using this new RIS architecture, we characterize the tradeoff between communication and radar sensing performance by jointly designing the base station (BS)'s beamforming vectors and the HRIS's parameters. Our objective is to maximize the signal-to-interference-and-noise ratio (SINR) of radar while ensuring the communication SINR requirement. To solve the corresponding non-convex joint beamforming design problem, we propose an alternating optimization approach, where the auto gradient descent (AGD) is applied to effectively find the best HRIS configuration, and the semidefinite relaxation (SDR) is used to obtain the closed-form BS beamforming solution.
AB - The reconfigurable intelligent surface (RIS), with the ability to program the radio environment, is considered as an essential component of the integrated sensing and communication (ISAC) system. In this paper, we propose a hybrid RIS (HRIS)-assisted multiple-input multiple-output (MIMO) ISAC system, where the HRIS is externally controllable and serves the dual function of reflecting the transmit signal to communication users and receiving radar echoes. Using this new RIS architecture, we characterize the tradeoff between communication and radar sensing performance by jointly designing the base station (BS)'s beamforming vectors and the HRIS's parameters. Our objective is to maximize the signal-to-interference-and-noise ratio (SINR) of radar while ensuring the communication SINR requirement. To solve the corresponding non-convex joint beamforming design problem, we propose an alternating optimization approach, where the auto gradient descent (AGD) is applied to effectively find the best HRIS configuration, and the semidefinite relaxation (SDR) is used to obtain the closed-form BS beamforming solution.
KW - Alternating optimization approach
KW - Hybrid RIS
KW - Integrated sensing and communication
KW - Joint beamforming design
UR - http://www.scopus.com/inward/record.url?scp=85190288871&partnerID=8YFLogxK
U2 - 10.1109/GCWkshps58843.2023.10464571
DO - 10.1109/GCWkshps58843.2023.10464571
M3 - منشور من مؤتمر
T3 - 2023 IEEE Globecom Workshops, GC Wkshps 2023
SP - 939
EP - 944
BT - 2023 IEEE Globecom Workshops, GC Wkshps 2023
T2 - 2023 IEEE Globecom Workshops, GC Wkshps 2023
Y2 - 4 December 2023 through 8 December 2023
ER -