Near-field channel estimation is recast as multidimensional polynomial phase estimation via spherical wavefront parameterization, enabling a new estimator with improved accuracy-complexity performance.
Channel estimation for extremely large-scale MIMO: Far-field or near-field?
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A near-field spatial non-stationary channel model for planar and modular curved XL-MIMO arrays is derived, an AE-aided AMP estimator with replica bound is proposed, and joint array-geometry and hybrid-precoding optimization is performed to maximize downlink sum rate.
A tensor-based multi-stage channel estimation method for XL-CRIS-aided mmWave MIMO-NOMA systems that maintains angle-invariant near-field properties under beam squint.
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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A Framework of Near-Field Communication with Different Array Geometries: Analysis, Optimization, and General Channel Estimation Algorithms Based on Deep Learning
A near-field spatial non-stationary channel model for planar and modular curved XL-MIMO arrays is derived, an AE-aided AMP estimator with replica bound is proposed, and joint array-geometry and hybrid-precoding optimization is performed to maximize downlink sum rate.
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Near-Field Channel Estimation for Extremely Large-Scale Circular RIS-Aided mmWave MIMO-NOMA System with Beam Squint Effect
A tensor-based multi-stage channel estimation method for XL-CRIS-aided mmWave MIMO-NOMA systems that maintains angle-invariant near-field properties under beam squint.