Symbol-Level Precoding-Based Self-Interference Cancellation for ISAC Systems

Fuente: arXiv
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Hauptverfasser: Cai, Shu, Chen, Zihao, Liu, Ya-Feng, Zhang, Jun
Format: Preprint
Veröffentlicht: 2024
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author Cai, Shu
Chen, Zihao
Liu, Ya-Feng
Zhang, Jun
author_facet Cai, Shu
Chen, Zihao
Liu, Ya-Feng
Zhang, Jun
contents Consider an integrated sensing and communication (ISAC) system where a base station (BS) employs a full-duplex radio to simultaneously serve multiple users and detect a target. The detection performance of the BS may be compromised by self-interference (SI) leakage. This paper investigates the feasibility of SI cancellation (SIC) through the application of symbol-level precoding (SLP). We first derive the target detection probability in the presence of the SI. We then formulate an SLP-based SIC problem, which optimizes the target detection probability while satisfying the quality of service requirements of all users. The formulated problem is a nonconvex fractional programming (FP) problem with a large number of equality and inequality constraints. We propose a penalty-based block coordinate descent (BCD) algorithm for solving the formulated problem, which allows for efficient closed-form updates of each block of variables at each iteration. Finally, numerical simulation results are presented to showcase the enhanced detection performance of the proposed SIC approach.
format Preprint
id arxiv_https___arxiv_org_abs_2409_08608
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Symbol-Level Precoding-Based Self-Interference Cancellation for ISAC Systems
Cai, Shu
Chen, Zihao
Liu, Ya-Feng
Zhang, Jun
Signal Processing
Consider an integrated sensing and communication (ISAC) system where a base station (BS) employs a full-duplex radio to simultaneously serve multiple users and detect a target. The detection performance of the BS may be compromised by self-interference (SI) leakage. This paper investigates the feasibility of SI cancellation (SIC) through the application of symbol-level precoding (SLP). We first derive the target detection probability in the presence of the SI. We then formulate an SLP-based SIC problem, which optimizes the target detection probability while satisfying the quality of service requirements of all users. The formulated problem is a nonconvex fractional programming (FP) problem with a large number of equality and inequality constraints. We propose a penalty-based block coordinate descent (BCD) algorithm for solving the formulated problem, which allows for efficient closed-form updates of each block of variables at each iteration. Finally, numerical simulation results are presented to showcase the enhanced detection performance of the proposed SIC approach.
title Symbol-Level Precoding-Based Self-Interference Cancellation for ISAC Systems
topic Signal Processing
url https://arxiv.org/abs/2409.08608