Near-field channel estimation is recast as multidimensional polynomial phase estimation via spherical wavefront parameterization, enabling a new estimator with improved accuracy-complexity performance.
Spherical-wave model for short-range MIMO
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Closed-form expressions for near-field boundary distances are derived for misaligned mmWave and THz antenna arrays across array-to-array and array-to-point setups with linear and planar arrays.
A site-specific beam learning method for full-duplex massive MIMO uses designed beam codebooks and deep learning to produce low self-interference high-SNR beams with 75-97% fewer measurements than explicit self-interference channel estimation.
citing papers explorer
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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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Near-field Boundary Distance in mmWave and THz Communications with Misaligned Antenna Arrays
Closed-form expressions for near-field boundary distances are derived for misaligned mmWave and THz antenna arrays across array-to-array and array-to-point setups with linear and planar arrays.
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Site-Specific Beam Learning for Full-Duplex Massive MIMO Wireless Systems
A site-specific beam learning method for full-duplex massive MIMO uses designed beam codebooks and deep learning to produce low self-interference high-SNR beams with 75-97% fewer measurements than explicit self-interference channel estimation.