CI-Based Block-Level Precoding for ISAC System

In this paper, we propose a constructive interference (CI)-based precoding scheme and extend the proposed precoding scheme from the symbol level to the block level for multiple-input multiple-output (MIMO) integrated sensing and communication (ISAC) systems. The illumination power of radar is maximized under communication CI constraint. Since the optimization objective function is not convex, we use succesive convex ap-proximation (SCA) method to solve the proposed optimization problem. Furthermore, we formulate the dual problem of the convex subproblem in SCA method. It is a simple quadratic programming (QP) problem and can be efficiently solved. The simulation results show that the proposed CI-based precoding design has significant advantages in enhancing the ISAC performance with acceptable computational complexity.

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Publication Details

Published
2024-10-24
DOI
https://doi.org/10.1109/wcsp62071.2024.10826614
Primary Topic
Antenna Design and Optimization
Type
article
Field-Weighted Citation Impact
0.00

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article

CI-Based Block-Level Precoding for ISAC System

Kai‐Kit Wong, Yiran Wang, Ang Li, Kun Yang et al.
Antenna Design and Optimization
article

CI-Based Block-Level Precoding for ISAC System

Kai‐Kit Wong, Yiran Wang, Ang Li, Kun Yang, Xiaoyan Hu
article en

Abstract

In this paper, we propose a constructive interference (CI)-based precoding scheme and extend the proposed precoding scheme from the symbol level to the block level for multiple-input multiple-output (MIMO) integrated sensing and communication (ISAC) systems. The illumination power of radar is maximized under communication CI constraint. Since the optimization objective function is not convex, we use succesive convex ap-proximation (SCA) method to solve the proposed optimization problem. Furthermore, we formulate the dual problem of the convex subproblem in SCA method. It is a simple quadratic programming (QP) problem and can be efficiently solved. The simulation results show that the proposed CI-based precoding design has significant advantages in enhancing the ISAC performance with acceptable computational complexity.

University College London (GB), Xi'an Jiaotong University (CN), Nanjing University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 57%
Antenna Design and Optimization
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