Develops rank-deficiency-exploiting analog compression for low-dimensional channel estimation and cascaded-MiLAC regularized zero-forcing beamforming in MU-MISO systems with group-specific correlations.
Hybrid Digital and Microwave Linear Analog Computer (MiLAC)-aided Beamforming for Multiuser MIMO-OFDM Systems
4 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
abstract
Microwave linear analog computing (MiLAC) has recently emerged as a promising architecture for analog-domain beamforming. In particular, a hybrid digital-MiLAC architecture was proposed and was shown to achieve fully-digital beamforming flexibility in narrowband systems when the number of RF chains equals the number of data streams. However, its performance in wideband systems remains unexplored. This paper presents the first study of hybrid digital-MiLAC beamforming for wideband multi-user multiple-input single-output (MU-MISO) systems. We first characterize the minimum number of radio-frequency (RF) chains required for hybrid digital-MiLAC beamforming to realize an arbitrary set of fully-digital beamforming matrices across all subcarriers. It turns out that, unlike in the narrowband case, a larger number of RF chains is generally required in frequency-selective channels to achieve fully-digital beamforming flexibility, which may be unfavorable in practice. To study the performance of hybrid digital-MiLAC beamforming with a limited number of RF chains, we then formulate the average sum-rate maximization problem and develop an efficient weighted minimum mean-square error (WMMSE)-based algorithm for beamforming design. Simulation results show that hybrid digital-MiLAC beamforming consistently outperforms conventional hybrid digital-analog beamforming, and achieves $89.93\%$ of the fully-digital sum-rate while using only $12.5\%$ of the RF chains in highly frequency-selective channels.
years
2026 4representative citing papers
MiLAC combiner matches fully digital CRB for DOA estimation of K targets with 2 RF chains per target when row space spans the 2K-dimensional steering-derivative subspace.
MiLAC-aided MIMO radar achieves identical CRB and DoA performance to fully-digital baselines while cutting hardware via analog-domain beamforming and 2D-DFT.
GIM-based MiLAC precoding outperforms PIM by optimizing the power-flexibility tradeoff via SVD and WMMSE algorithms in downlink multiuser MISO systems.
citing papers explorer
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Channel Estimation and Beamforming for Microwave Linear Analog Computers (MiLACs)-Aided Multiuser MISO Systems
Develops rank-deficiency-exploiting analog compression for low-dimensional channel estimation and cascaded-MiLAC regularized zero-forcing beamforming in MU-MISO systems with group-specific correlations.
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How Many RF Chains Does a Microwave Linear Analog Computer (MiLAC) Need to Match the Fully-Digital Cram\'er-Rao Bound?
MiLAC combiner matches fully digital CRB for DOA estimation of K targets with 2 RF chains per target when row space spans the 2K-dimensional steering-derivative subspace.
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Microwave Linear Analog Computer (MiLAC)-Aided MIMO Radar Sensing: Transmit Beamforming Design and DoA Estimation
MiLAC-aided MIMO radar achieves identical CRB and DoA performance to fully-digital baselines while cutting hardware via analog-domain beamforming and 2D-DFT.
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Microwave Linear Analog Computers Aided Multiuser Communication: General Impedance Matching and Precoding Optimization
GIM-based MiLAC precoding outperforms PIM by optimizing the power-flexibility tradeoff via SVD and WMMSE algorithms in downlink multiuser MISO systems.