RIS-Assisted Full-Duplex Integrated Sensing and Communication

Article Computer Science, Information Systems

Integrated Sensing and Communication Signals Toward 5G-A and 6G: A Survey

Zhiqing Wei et al.

Summary: This article systematically reviews the literature on ISAC signals from the perspective of mobile communication systems, including signal design, signal processing, and signal optimization. The design of ISAC signals based on 5G, 5G-A, and 6G mobile communication systems is first reviewed. Then, radar signal processing methods for ISAC signals are discussed, including the channel information matrix method, spectrum lines estimator method, and super-resolution method. Signal optimization techniques such as peak-to-average power ratio (PAPR) optimization, interference management, and adaptive signal optimization for ISAC signals are also summarized. This article provides guidelines for the research of ISAC signals in 5G-A and 6G mobile communication systems.

IEEE INTERNET OF THINGS JOURNAL (2023)

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Article Engineering, Electrical & Electronic

Integrated Human Activity Sensing and Communications

Xinyu Li et al.

Summary: This article reviews the integrated sensing and communication (ISAC) technology in the context of human-related sensing. It presents a general ISAC receiver signal processing framework and categorizes human activity recognition (HAR) into different spatial deployments. The article also explores the connection between physical-layer system parameters and HAR performance, and provides experimental results on the sensing potentials of different ISAC systems. Finally, it discusses the technical challenges and identifies open research problems.

IEEE COMMUNICATIONS MAGAZINE (2023)

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Article Engineering, Electrical & Electronic

Deep-Learning Channel Estimation for IRS-Assisted Integrated Sensing and Communication System

Yu Liu et al.

Summary: This paper studies the channel estimation problem in an integrated sensing and communication (ISAC) system assisted by intelligent reflecting surface (IRS). The lack of signal processing capacity in passive IRS and the mutual interference between sensing and communication signals in ISAC systems pose challenges to this problem. A three-stage approach based on a deep-learning framework is proposed to decouple the channel estimation problem, including the estimation of direct SAC channels, reflected communication channel, and reflected sensing channel. The proposed approach utilizes different convolutional neural network architectures and carefully designed training data pairs, and outperforms the least-squares baseline scheme in terms of estimation performance.

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2023)

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Article Engineering, Electrical & Electronic

Joint Beamforming Design for RIS-Assisted Integrated Sensing and Communication Systems

Honghao Luo et al.

Summary: This correspondence investigates the deployment of a reconfigurable intelligent surface (RIS) in an integrated sensing and communication (ISAC) system for better performance and proposes an efficient alternating algorithm to solve this problem. Simulation results demonstrate the advancement of deploying RIS in ISAC systems and the effectiveness of the proposed algorithm.

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2022)

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Proceedings Paper Computer Science, Information Systems

Joint Localization and Information Transfer for RIS Aided Full-Duplex Systems

Zhichao Shao et al.

Summary: This work investigates a scenario where a reconfigurable intelligent surface (RIS) aids integrated sensing and communication (ISAC), focusing on joint localization and information retrieval. The RIS enhances reflected echoes and passive transfers information from devices to a base station (BS) via reflection modulation. The work proposes a grid-based parametric model and formulates the joint estimation problem as a compressive sensing (CS) problem, employing an expectation-maximization (EM) algorithm to tune the grid parameters and mitigate model mismatch. The effectiveness of various CS algorithms is analyzed through Bayesian Cram ' er-Rao bound (BCRB).

2022 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM 2022) (2022)

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Proceedings Paper Telecommunications

RIS-Enabled Self-Localization: Leveraging Controllable Reflections With Zero Access Points

Kamran Keykhosravi et al.

Summary: This paper introduces the application of RIS technology in wireless localization, which enables users to estimate their own position by transmitting pilot signals and processing the signal reflected from the RIS. A low-complexity position estimation algorithm is proposed, and the performance of the position estimator is evaluated.

IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC 2022) (2022)

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Article Engineering, Electrical & Electronic

Joint Waveform Design and Passive Beamforming for RIS-Assisted Dual-Functional Radar-Communication System

Xinyi Wang et al.

Summary: The dual-functional radar-communication (DFRC) technique is considered a promising component in emerging platforms, but waveform design limitations can lead to high multi-user interference (MUI) and degraded communication performance. Inspired by Reconfigurable Intelligent Surface (RIS) applications in mitigating MUI, this paper investigates joint waveform design and passive beamforming in RIS-assisted DFRC systems. Simulation results show that with RIS assistance, system throughput can be significantly improved and the obtained beampattern matches the target transmit beampattern better than scenarios without RIS.

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2021)

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Article Engineering, Electrical & Electronic