Multi-Target Integrated Sensing and Communication with MIMO In-Band Full-Duplex Systems

In recent years, the integration of Multi-Input Multi-Output (MIMO) technology with In-Band Full-Duplex (IBFD) systems has emerged as a promising approach for multi-targets Integrated Sensing and Communication (ISAC), particularly in the context of 6G and vehicle-to-everything (V2X) communications. However, the simultaneous transmission and reception of signals in IBFD systems face significant challenges, mainly due to self-interference (SI), which severely impacts system performance. This paper presents a novel framework that combines self-interference cancellation (SIC) techniques with the MIMO-IBFD-ISAC system to enhance multi-target sensing capabilities. The framework utilizes an independent component analysis (ICA) algorithm to effectively separate self-interference from the desired signals. Additionally, a specialized multi-targets detection method is employed to recover radar signals reflected from targets accurately. Simulation results demonstrate that the proposed approach improves target detection accuracy and communication efficiency, making it a viable solution for next-generation ISAC systems.

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Published
2024-10-27
DOI
https://doi.org/10.1109/ieeeconf60004.2024.10942958
Primary Topic
Full-Duplex Wireless Communications
Type
article
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article

Multi-Target Integrated Sensing and Communication with MIMO In-Band Full-Duplex Systems

Ahmed M. Eltawil, Chung-An Shen, Abdulkadir Çelik, Mohammed E. Fouda et al.
Full-Duplex Wireless Communications
article

Multi-Target Integrated Sensing and Communication with MIMO In-Band Full-Duplex Systems

Ahmed M. Eltawil, Chung-An Shen, Abdulkadir Çelik, Mohammed E. Fouda, Yung-Chih Chih
article en

Abstract

In recent years, the integration of Multi-Input Multi-Output (MIMO) technology with In-Band Full-Duplex (IBFD) systems has emerged as a promising approach for multi-targets Integrated Sensing and Communication (ISAC), particularly in the context of 6G and vehicle-to-everything (V2X) communications. However, the simultaneous transmission and reception of signals in IBFD systems face significant challenges, mainly due to self-interference (SI), which severely impacts system performance. This paper presents a novel framework that combines self-interference cancellation (SIC) techniques with the MIMO-IBFD-ISAC system to enhance multi-target sensing capabilities. The framework utilizes an independent component analysis (ICA) algorithm to effectively separate self-interference from the desired signals. Additionally, a specialized multi-targets detection method is employed to recover radar signals reflected from targets accurately. Simulation results demonstrate that the proposed approach improves target detection accuracy and communication efficiency, making it a viable solution for next-generation ISAC systems.

National Taiwan University of Science and Technology (TW), King Abdullah University of Science and Technology (SA)
Openalex Percentile: Top 73%
Full-Duplex Wireless Communications
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