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Transmissive RIS-Enabled Base Station for ISAC With Angle-Sensitive Effect

delete2026-07-01
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PRE
AI
J
Jianghui Liu
张红桃 cover
张红桃 (Hongtao Zhang)
Y
Yajun Zhao
K
Kaiming Liu
袁一斐 (Yifei Yuan)
DOI:10.1109/tcomm.2026.3708480delete
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Abstract

Abstract

En 中文
Most existing studies on reconfigurable intelligent surface (RIS)-assisted integrated sensing and communication (ISAC) networks simplistically assume a constant-modulus constraint for RIS phase shift while neglecting angle-sensitive effect, leading to a significant deviation between theory and practice. Also, these works largely fail to consider the potential enhancement of sensing-assisted communication. In this paper, a sensing-assisted communication ISAC scheme is proposed, where a transmissive RIS (T-RIS)-enabled base station architecture with angle-sensitive effect is incorporated and efficient ISAC algorithms are carefully designed. Specifically, we establish a T-RIS-enabled low-altitude ISAC system model accounting for angle-sensitive effect and propose an uplink sensing-aided downlink communication ISAC protocol. Moreover, by leveraging the Jacobi-Anger expansion to decouple user azimuth and elevation angles, we develop a linear-complexity 3D positioning algorithm that imposes no special requirements on T-RIS phase configuration, combined with the least squares method. Additionally, based on estimated users’ positions, we design a joint power control and T-RIS phase shift optimization algorithm using the Lagrangian dual method, block coordinate descent framework, and alternating direction method of multipliers to maximize downlink sum-rate. A prototype system is implemented and evaluated in terms of positioning accuracy and multi-user sum-rate. Simulation and experimental results demonstrate that, compared to baseline schemes, our approach achieves a 45% sum-rate improvement while reducing the required number of T-RIS elements by 34% for equivalent performance.
Keywords:
Transmissive reconfigurable intelligent surface transceiver
angle-sensitive effect
integrated sensing and communication
linear-complexity sensing
sensing-aided beamforming

Journal

IEEE Transactions on Communications cover
IEEE Transactions on Communications
IF:
8.3
Papers:
1.2W
Citations:
3.6W

Organization

C
china mobile research institute
Scholars:
234
Papers: 102
Citations: 0
B
beijing university of posts and telecommunications
Scholars:
2.0K
Papers: 764
Citations: 0
Z
zte corporation
Scholars:
48
Papers: 36
Citations: 2
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