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Extremely Large Full Duplex MIMO for Simultaneous Downlink Communications and Monostatic Sensing at Sub-THz Frequencies

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arxiv 2502.10693 v2 pith:CXWQUBGJ submitted 2025-02-15 cs.IT cs.ETmath.IT

classification cs.ITcs.ETmath.IT
keywords sensinganalogbeamformingcommunicationsarchitecturesarraysdesignsdigital
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The in-band Full Duplex (FD) technology is lately gaining attention as an enabler for the emerging paradigm of Integrated Sensing and Communications (ISAC), which envisions seamless integration of sensing mechanisms for unconnected entities into next generation wireless networks. In this paper, we present an FD Multiple-Input Multiple-Output (MIMO) system with extremely large antenna arrays at its transceiver module, which is optimized, considering two emerging analog beamforming architectures, for simultaneous DownLink (DL) communications and monostatic-type sensing intended at the sub-THz frequencies, with the latter operation relying on received reflections of the transmitted information-bearing signals. A novel optimization framework for the joint design of the analog and digital transmit beamforming, analog receive combining, and the digital canceler for the self-interference signal is devised with the objective to maximize the achievable DL rate, while meeting a predefined threshold for the position error bound for the unknown three-dimensional parameters of a passive target. Capitalizing on the distinctive features of the beamforming architectures with fully-connected networks of phase shifters and partially-connected arrays of metamaterials, two ISAC designs are presented. Our simulation results showcase the superiority of both proposed designs over state-of-the-art schemes, highlighting the role of various system parameters in the trade-off between the communication and sensing functionalities.

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Cited by 6 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Electromagnetics-Compliant Optimization of Dynamic Metasurface Antennas for Bistatic Sensing

    eess.SP 2025-09 unverdicted novelty 6.0 of 10

    Optimizes DMA-based beamforming for bistatic sensing with a physically consistent model including mutual coupling, yielding robust performance comparable to digital arrays via codebook search.

  2. Metasurfaces-Integrated Doubly-Dispersive MIMO: Channel Modeling and Optimization

    eess.SP 2025-06 conditional novelty 6.0 of 10

    A unified doubly-dispersive MIMO channel model with SIM and RIS is derived, and SIM phase optimization is shown to improve BER and radar parameter estimation for OFDM, OTFS, and AFDM.

  3. Receiving RISs: Enabling Channel Estimation and Autonomous Configuration

    eess.SP 2025-06 conditional novelty 6.0 of 10

    A semi-passive RIS with a few receive chains estimates two users' channels via ADMM-based matrix completion and then self-configures its reflection phases for MIMO capacity.

  4. Tracking-Aided Multi-User MIMO Communications with Hybrid Reconfigurable Intelligent Surfaces

    eess.SP 2025-04 conditional novelty 6.0 of 10

    A joint design of base station precoding, hybrid RIS reflection, and analog combining enables tracking-aided multi-user MIMO by maximizing a Fisher information bound under SINR constraints.

  5. DMA Reception for Simultaneous Area-Wide Sensing and Multi-User Uplink Communications

    eess.SP 2025-04 conditional novelty 6.0 of 10

    A DMA reception design is proposed that minimizes a Cramér-Rao bound over an area of interest while enforcing uplink SNR constraints for multiple users.

  6. Communications-Centric Secure ISAC with Hybrid Reconfigurable Intelligent Surfaces

    eess.SP 2025-04 conditional novelty 4.0 of 10

    A secure ISAC design that co-optimizes base station precoding and hybrid RIS settings to localize a user and an eavesdropper while keeping the secrecy rate above a threshold.

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