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New GPU framework optimizes antennas and surfaces for integrated sensing and communication

Researchers have developed a GPU-accelerated framework for optimizing movable antennas and reconfigurable intelligent surfaces in integrated sensing and communication systems. This new approach, called Regime-Aware Multiobjective Pre-optimization (RAMP), aims to balance user communication rates with target illumination by jointly selecting antenna geometry and surface phases. The RAMP framework preserves specific Pareto populations and regulates cross-regime mating, demonstrating competitive robust Pareto quality compared to existing evolutionary methods without requiring online re-optimization. AI

IMPACT This research could lead to more efficient and robust integrated sensing and communication systems by optimizing hardware configurations.

RANK_REASON The cluster contains a research paper detailing a new optimization framework for communication systems. [lever_c_demoted from research: ic=1 ai=0.7]

Read on arXiv cs.LG →

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New GPU framework optimizes antennas and surfaces for integrated sensing and communication

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The cluster contains a research paper detailing a new optimization framework for communication systems. [lever_c_demoted from research: ic=1 ai=0.7]
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COVERAGE [1]

  1. arXiv cs.LG TIER_1 English(EN) · Tran Le Dung, Ho Viet Duc Luong ·

    GPU-Accelerated Robust MA--RIS Pre-Optimization for Communication and Target Illumination

    arXiv:2610.22431v1 Announce Type: cross Abstract: Movable antennas (MAs) and reconfigurable intelligent surfaces (RISs) offer strong spatial control for integrated sensing and communication (ISAC), but repeatedly adapting MA positions and RIS phases to each channel realization ca…