Joint Multi-User Communication and Sensing Exploiting Both Signal and Environment Sparsity

Tong, Xin; Zhang, Zhaoyang; Wang, Jue; Huang, Chongwen; Debbah, Mérouane

doi:10.1109/jstsp.2021.3111432

Cited by 86 publications

(27 citation statements)

References 36 publications

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“…Moreover, let D (p 0 p 1 ) denote the KL divergence from p 0 (y W ) to p 1 (y W ), and D (p 1 p 0 ) denote the KL divergence from p 1 (y W ) to p 0 (y W ). According to (10), D (p 0 p 1 ) and D (p 1 p 0 ) are respectively given as…”

Section: Covert Constraintsmentioning

confidence: 99%

“…A critical challenge of developing IRSC systems is to design integrated waveforms that can realize detection and communication simultaneously to alleviate spectrum scarcity. To this end, various studies in the literature focused on the design of dual-functional waveforms [6]- [10]. Due to the inherent IRSC nature of openness and broadcasting, the critical information embedded in the waveform is susceptible to be intercepted and eavesdropped by the malicious users [11], [12].…”

Section: Introductionmentioning

confidence: 99%

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Covert Beamforming Design for Integrated Radar Sensing and Communication Systems

Haihong

Yang

et al. 2023

IEEE Trans. Wireless Commun.

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We propose covert beamforming design frameworks for integrated radar sensing and communication (IRSC) systems, where the radar can covertly communicate with legitimate users under the cover of the probing waveforms without being detected by the eavesdropper. Specifically, by jointly designing the target detection beamformer and communication beamformer, we aim to maximize the radar detection mutual information (MI) (or the communication rate) subject to the covert constraint, the communication rate constraint (or the radar detection MI constraint), and the total power constraint. For the perfect eavesdropper's channel state information (CSI) scenario, we transform the covert beamforming design problems into a series of convex subproblems, by exploiting semidefinite relaxation, which can be solved via the bisection search method. Considering the high complexity of iterative optimization, we further propose a single-iterative covert beamformer design scheme based on the zero-forcing criterion. For the imperfect eavesdropper's CSI scenario, we develop a relaxation and restriction method to tackle the robust covert beamforming design problems. Simulation results demonstrate the effectiveness of the proposed covert beamforming schemes for perfect and imperfect CSI scenarios.

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Section: Covert Constraintsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Covert Beamforming Design for Integrated Radar Sensing and Communication Systems

Haihong

Yang

et al. 2023

IEEE Trans. Wireless Commun.

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“…where E(X) = xf (x)dx represents the mean of x and D(X) = [x − E(X)] 2 f (x)dx represents the variance of x. Pluging (21), ( 22) and ( 23) into (18) and (19). Based on the likelihood in (10), according to the derivation in [25], [28], the mean and variance of the residual are expressed as…”

Section: Approximated Factor-to-variable Messagesmentioning

confidence: 99%

“…For the former goal, one straightforward realization is to fully exploit the environmental information embedded in the received communication data, due to the simple fact that the distribution of environmental scatterers dramatically affects the wireless multipath channels. For the latter, direct channel prediction (reconstruction) can be conducted based on the sensed distribution and characteristics of scatterers within the environment thus to enhance the performance of communication [8]- [10]. In this paper, we mainly focus on the first part and study how to perform efficient and accurate environment sensing based on the uplink data received from multiple users, in a way compatible with existing communication systems thus to achieve a smooth integration of communication and sensing.…”

mentioning

confidence: 99%

Environment Sensing Considering the Occlusion Effect: A Multi-View Approach

Tong,

Zhang,

Zhang

et al. 2022

Preprint

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In this paper, we consider the problem of sensing the environment within a wireless cellular framework. Specifically, multiple user equipments (UEs) send sounding signals to one or multiple base stations (BSs) and then a centralized processor retrieves the environmental information from all the channel information obtained at the BS(s). Taking into account the occlusion effect that is common in the wireless context, we make full use of the different views of the environment from different users and/or BS(s), and propose an effective sensing algorithm called GAMP-MVSVR (generalized-approximate-message-passing-based multiview sparse vector reconstruction). In the proposed algorithm, a multi-layer factor graph is constructed to iteratively estimate the scattering coefficients of the cloud points and their occlusion relationship. In each iteration, the occlusion relationship between the cloud points of the sparse environment is recalculated according to a simple occlusion detection rule, and in turn, used to estimate the scattering coefficients of the cloud points. Our proposed algorithm can achieve improved sensing performance with multi-BS collaboration in addition to the multi-views from the UEs. The simulation results verify its convergence and effectiveness.

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“…ISAC enables a fully-shared platform to transmit the dual-functional waveform for simultaneously performing the communication and radar sensing functionalities, which significantly improves the spectrum and hardware efficiencies. As one of the crucial enabling technologies for future networks, ISAC has attracted widespread attention from both academia and industry [1]- [3].…”

Section: Introductionmentioning

confidence: 99%

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

Luo

Liu

et al. 2022

IEEE Trans. Veh. Technol.

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Integrated sensing and communication (ISAC) has been envisioned as a promising technology to tackle the spectrum congestion problem for future networks. In this correspondence, we investigate to deploy a reconfigurable intelligent surface (RIS) in an ISAC system for achieving better performance. In particular, a multi-antenna base station (BS) simultaneously serves multiple single-antenna users with the assistance of a RIS and detects potential targets. The active beamforming of the BS and the passive beamforming of the RIS are jointly optimized to maximize the achievable sum-rate of the communication users while satisfying the constraint of beampattern similarity for radar sensing, the restriction of the RIS, and the transmit power budget. An efficient alternating algorithm based on the fractional programming (FP), majorization-minimization (MM), and manifold optimization methods is developed to convert the resulting non-convex optimization problem into two solvable subproblems and iteratively solve them. Simulation studies illustrate the advancement of deploying RIS in ISAC systems and the effectiveness of the proposed algorithm.

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Joint Multi-User Communication and Sensing Exploiting Both Signal and Environment Sparsity

Cited by 86 publications

References 36 publications

Covert Beamforming Design for Integrated Radar Sensing and Communication Systems

Covert Beamforming Design for Integrated Radar Sensing and Communication Systems

Environment Sensing Considering the Occlusion Effect: A Multi-View Approach

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

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