A binary-switched parasitic antenna array with a quadratic current approximation achieves beamforming performance comparable to fully active arrays with significantly more RF chains.
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A new sub-connected hybrid beamforming design with sparse phase-shifter sharing via optimized static connections reduces phase-shifter count by 37.5% (single-RF) and 62.5% (multi-RF) while preserving most beamforming performance.
Near-field channel estimation is recast as multidimensional polynomial phase estimation via spherical wavefront parameterization, enabling a new estimator with improved accuracy-complexity performance.
A tractable robust beamforming framework for DMA transmitters in bistatic sensing, accounting for mutual coupling and waveguide losses, with codebook-based low-complexity designs matching digital benchmarks in simulation.
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.
Learning-based radio map construction is taxonomized as source-aware forward prediction versus source-agnostic inverse reconstruction, spanning five neural families, optics-inspired continuous fields, and a three-level physics integration framework.
citing papers explorer
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Parasitic MIMO Beamforming for Multi-Active Multi-Parasitic Antenna Arrays with Binary Control
A binary-switched parasitic antenna array with a quadratic current approximation achieves beamforming performance comparable to fully active arrays with significantly more RF chains.
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Ultra-Low-Cost Hybrid Beamforming: A New Static-Connection Architecture with Sparse Phase-Shifter Sharing
A new sub-connected hybrid beamforming design with sparse phase-shifter sharing via optimized static connections reduces phase-shifter count by 37.5% (single-RF) and 62.5% (multi-RF) while preserving most beamforming performance.
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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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Electromagnetics-Compliant Optimization of Dynamic Metasurface Antennas for Bistatic Sensing
A tractable robust beamforming framework for DMA transmitters in bistatic sensing, accounting for mutual coupling and waveguide losses, with codebook-based low-complexity designs matching digital benchmarks in simulation.
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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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A Tutorial on Learning-Based Radio Map Construction: Data, Paradigms, and Physics-Awareness
Learning-based radio map construction is taxonomized as source-aware forward prediction versus source-agnostic inverse reconstruction, spanning five neural families, optics-inspired continuous fields, and a three-level physics integration framework.