{"ID":5935706,"CreatedAt":"2026-07-07T01:22:02.77346169Z","UpdatedAt":"2026-07-07T02:10:06.972658124Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2607.03389","arxiv_id":"2607.03389","title":"Deep-Unfolded Wideband ISAC Beamforming for DMA Under Frequency-Selective Lorentzian Model","abstract":"Integrated sensing and communications (ISAC), empowered by dynamic metasurface antennas (DMAs), has emerged as a promising paradigm for next-generation wireless networks. However, existing DMA-based designs commonly rely on the frequency-flat response model for DMA elements, which is accurate only in narrowband scenarios and can cause significant phase and magnitude mismatches in wideband and ultra-wideband systems. This paper investigates a DMA-based wideband ISAC system under a frequency-selective Lorentzian response model, which accurately captures the frequency-dependent behavior of DMA elements. We aim to jointly balance the aggregate signal-to-interference-plus-noise ratio (SINR) of communication users and the signal-to-noise ratio (SNR) of the radar target. To this end, we first develop an alternating optimization framework based on projected gradient ascent (PGA), deriving closed-form gradients of the objective function with respect to the digital beamforming vectors, resonance frequencies, and damping factors under the frequency-selective Lorentzian DMA model. We then propose an unfolded PGA architecture that preserves the interpretability of model-based optimization while learning key hyperparameters to accelerate convergence. Simulation results show that the frequency-selective Lorentzian model improves performance by approximately 20\\% over its frequency-flat approximation. Moreover, deep-unfolded PGA achieves up to 20-fold faster convergence and improves the objective value by up to 7\\% compared with PGA-based benchmarks.","short_abstract":"Integrated sensing and communications (ISAC), empowered by dynamic metasurface antennas (DMAs), has emerged as a promising paradigm for next-generation wireless networks. However, existing DMA-based designs commonly rely on the frequency-flat response model for DMA elements, which is accurate only in narrowband scenari...","url_abs":"https://arxiv.org/abs/2607.03389","url_pdf":"https://arxiv.org/pdf/2607.03389v1","authors":"[\"Abdolrasoul Sakhaei Gharagezlou\",\"Pouya Mobaraki\",\"Mehdi Monemi\",\"Nhan T. Nguyen\",\"Mehdi Rasti\",\"Samad Ali\",\"Matti Latva-aho\"]","published":"2026-07-03T14:46:16Z","proceeding":"cs.IT","tasks":"[\"cs.IT\",\"eess.SP\",\"eess.SY\"]","methods":"[]","has_code":false}