Large-Scale STAR-RIS Assisted Near-Field ISAC Transmission Method

WANG Xiaoming; LI Jiaqi; LIU Ting; JIANG Rui; XU Youyun

doi:10.11999/JEIT240018

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WANG Xiaoming, LI Jiaqi, LIU Ting, JIANG Rui, XU Youyun. Large-Scale STAR-RIS Assisted Near-Field ISAC Transmission Method[J]. Journal of Electronics & Information Technology. doi: 10.11999/JEIT240018

Citation:

WANG Xiaoming, LI Jiaqi, LIU Ting, JIANG Rui, XU Youyun. Large-Scale STAR-RIS Assisted Near-Field ISAC Transmission Method[J]. Journal of Electronics & Information Technology. doi: 10.11999/JEIT240018

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Large-Scale STAR-RIS Assisted Near-Field ISAC Transmission Method

doi: 10.11999/JEIT240018

1.
School of Communication and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, China
2.
School of Artificial Intelligence (School of Future Technology), Nanjing University of Information Science and Technology, Nanjing 210044, China

Funds: The National Natural Science Foundation of China (62101274, 62371246)

Received Date: 2024-01-16
Rev Recd Date: 2024-09-06

Available Online: 2024-09-28

Abstract

Abstract

Simultaneous Transmitting and Reflecting Reconfigurable Intelligent Surfaces (STAR-RIS) is able to create an all-space intelligent radio environment to effectively improve the performance of wireless communication systems, thus it has vast research potential. Therefore, in this paper, a large-scale STAR-RIS-assisted near-field Integrated Sensing and Communication (ISAC) approach is proposed. Cramér-Rao Bound (CRB) of the three-dimensional estimation of the sensing target is optimized. First, the near-field system model is built and then beam steering vectors between base station, STAR-RIS, communication users, sensing target and sensor are derived respectively. Second, the sensing performance is optimized by designing the transmit beamforming matrix, the covariance matrix of transmit signal and the STAR-RIS coefficients. Third, a non-convex optimization problem is solved via semi-definite relaxation approach. The simulation results show the effectiveness of our proposed ISAC approach, and the positioning performance advantage brought by the extra distance freedom of near field.

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References(20)

References

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