Near-field channel estimation is recast as multidimensional polynomial phase estimation via spherical wavefront parameterization, enabling a new estimator with improved accuracy-complexity performance.
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A distributed parallel decomposition framework configures frequency-selective analog and digital beamforming for multiple DMA-equipped BSs in cell-free OFDM, showing robustness to imperfect CSI via numerical results.
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.
A tutorial organizes learning-based radio map construction around data sources, neural architectures, and physics-awareness integration for wireless environments.
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Near-field channel estimation via wavefront parameterization
Near-field channel estimation is recast as multidimensional polynomial phase estimation via spherical wavefront parameterization, enabling a new estimator with improved accuracy-complexity performance.
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Robust Beamforming for Cell-Free Systems with Parallel-Plate-Waveguided Dynamic Metasurfaces
A distributed parallel decomposition framework configures frequency-selective analog and digital beamforming for multiple DMA-equipped BSs in cell-free OFDM, showing robustness to imperfect CSI via numerical results.
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Electromagnetics-Compliant Optimization of Dynamic Metasurface Antennas for Bistatic Sensing
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.
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A Tutorial on Learning-Based Radio Map Construction: Data, Paradigms, and Physics-Awareness
A tutorial organizes learning-based radio map construction around data sources, neural architectures, and physics-awareness integration for wireless environments.