Holographic Integrated Sensing and Communication

Zhang, Haobo; Zhang, Hongliang; Di, Boya; Renzo, Marco Di; Han, Zhu; Poor, H. Vincent; Song, Lingyang

doi:10.1109/jsac.2022.3155548

Cited by 75 publications

(67 citation statements)

References 40 publications

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“…There have been growing research interests in the ISAC from various perspectives in recent years. With the rapid development of multiple-input multiple-out (MIMO) techniques, the higher DoFs can be provided by the multi-antenna arrays for constructing highly directional beams toward the communication users and the sensing targets, which motivates many works to investigate ISAC from the transmit beamforming perspective [7]- [10]. Specifically, following a path from partially to fully shared antenna arrays, the authors of [7] jointly designed the transmit beamforming to approach the desired sensing beampattern while guaranteeing the minimum communication signal-to-interference-plus-noise-ratio (SINR) requirements.…”

Section: A Prior Workmentioning

confidence: 99%

STARS Enabled Integrated Sensing and Communications

Wang¹,

Mu²,

Liu³

2022

Preprint

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A simultaneously transmitting and reflecting intelligent surface (STARS) enabled integrated sensing and communications (ISAC) framework is proposed, where the whole space is divided by STARS into a sensing space and a communication space. A novel sensing-at-STARS structure, where dedicated sensors are installed at the STARS, is proposed to address the significant path loss and clutter interference for sensing. The Cramér-Rao bound (CRB) of the 2-dimension (2D) direction-of-arrivals (DOAs) estimation of the sensing target is derived, which is then minimized subject to the minimum communication requirement. A novel approach is proposed to transform the complicated CRB minimization problem into a trackable modified Fisher information matrix (FIM) optimization problem. Both independent and coupled phase-shift models of STARS are investigated: 1) For the independent phase-shift model, to address the coupling of ISAC waveform and STARS coefficient in the modified FIM, an efficient double-loop iterative algorithm based on the penalty dual decomposition (PDD) framework is conceived;2) For the coupled phase-shift model, based on the PDD framework, a low complexity alternating optimization algorithm is proposed to tackle coupled phase-shift constants by alternatively optimizing amplitude and phase-shift coefficients in closed-form. Finally, the numerical results demonstrate that: 1) STARS significantly outperforms the conventional RIS in CRB under the communication constraints;2) The coupled phase-shift model achieves comparable performance to the independent one for low communication requirements or sufficient STARS elements; 3) It is more efficient to increase the number of passive elements of STARS rather than the active elements of the sensor; 4) High sensing accuracy can be achieved by STARS using the practical 2D maximum likelihood estimator compared with the conventional RIS.

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Section: A Prior Workmentioning

confidence: 99%

STARS Enabled Integrated Sensing and Communications

Wang¹,

Mu²,

Liu³

2022

Preprint

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“…In addition to the aforementioned sensing and localization applications, the IOS can also find its own role in integrated sensing and communication (ISAC), which is originally proposed to save bandwidth for integrating sensing functions in communication systems [146]. Compared to the IRS [147]- [149], the IOS is expected to benefit the ISAC more as it can double the coverage. To fully reap these benefits, it is necessary to properly deploy the IOS and optimize their realtime reflection and refraction responses by taking into account the new co-channel sensing-communication interference.…”

Section: B Ios-aided Wireless Sensing and Localizationmentioning

confidence: 99%

Intelligent Omni-Surfaces: Simultaneous Refraction and Reflection for Full-Dimensional Wireless Communications

Zhang

2022

IEEE Commun. Surv. Tutorials

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The development of metasurfaces has unlocked various use cases in wireless communication networks to improve performance by manipulating the propagation environment. Intelligent omni-surface (IOS), an innovative technique in this category, is proposed for coverage extension. In contrast to the widely studied reflective metasurfaces, i.e., intelligent reflecting surfaces (IRSs), which can only serve receivers located on the same side of the transmitter, the IOS can achieve full-dimensional wireless communications by enabling the simultaneous reflection and refraction of the surface, and thus users on both sides can be served. In this paper, we provide a comprehensive overview of the state-of-the-art in IOS from the perspective of wireless communications, with the emphasis on their design principles, channel modeling, beamforming design, experimental implementation and measurements, as well as possible applications in future cellular networks. We first describe the basic concepts of metasurfaces, and introduce the corresponding design principles for different types of metasurfaces. Moreover, we elaborate on the reflective-refractive model for each IOS element and the channel model for IOS-aided wireless communication systems. Furthermore, we show how to achieve full-dimensional wireless communications with the IOS for three different scenarios.In particular, we present the implementation of an IOS-aided wireless communication prototype and report its experimental measurement results. Finally, we outline some potential future directions and challenges in this area.

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“…Secondly, metamaterial elements are regularly arranged at sub-wavelength intervals on the waveguides, which indicates that an HMA-based array can accommodate more antenna elements than a conventional array, e.g., a patch antenna array, with the same aperture. By contrast, for the conventional array, antenna elements are usually distributed with half wavelength to reduce the mutual coupling, leading to huge sizes of antenna arrays in XL-MIMO systems [11], [12]. Thus, HMAs are more conducive to the layout of large-scale antenna arrays compared to conventional antennas, especially in the circumstance of a limited area.…”

Section: Introductionmentioning

confidence: 99%

Near-Field Wideband Extremely Large-scale MIMO Transmission with Holographic Metasurface Antennas

Xu¹,

Li²,

Alexandropoulos³

et al. 2022

Preprint

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Extremely large-scale multiple-input multiple-output (XL-MIMO) is the development trend of future wireless communications. However, the extremely large-scale antenna array could bring inevitable nearfield and dual-wideband effects that seriously reduce the transmission performance. This paper proposes an algorithmic framework to design the beam combining for the near-field wideband XL-MIMO uplink transmissions assisted by holographic metasurface antennas (HMAs). Firstly, we introduce a sphericalwave-based channel model that simultaneously takes into account both the near-field and dual-wideband effects. Based on such a model, we then formulate the HMA-based beam combining problem for the proposed XL-MIMO communications, which is challenging due to the nonlinear coupling of high dimensional HMA weights and baseband combiners. We further present a sum-mean-square-errorminimization-based algorithmic framework. Numerical results showcase that the proposed scheme can effectively alleviate the sum-rate loss caused by the near-field and dual-wideband effects in HMAassisted XL-MIMO systems. Meanwhile, the proposed HMA-based scheme can achieve a higher sum rate than the conventional phase-shifter-based hybrid analog/digital one with the same array aperture.

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Holographic Integrated Sensing and Communication

Cited by 75 publications

References 40 publications

STARS Enabled Integrated Sensing and Communications

STARS Enabled Integrated Sensing and Communications

Intelligent Omni-Surfaces: Simultaneous Refraction and Reflection for Full-Dimensional Wireless Communications

Near-Field Wideband Extremely Large-scale MIMO Transmission with Holographic Metasurface Antennas

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