A binary-switched parasitic antenna array with a quadratic current approximation achieves beamforming performance comparable to fully active arrays with significantly more RF chains.
Deconstructing multiantenna fading channels
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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.
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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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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.