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.
Two-Layer Microwave Linear Analog Computer (MiLAC)-aided Multi-user MISO Networks
5 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
abstract
Microwave linear analog computer (MiLAC)-aided transmit beamforming, which processes transmitted symbols entirely in the analog domain, has recently emerged as a promising alternative to fully digital or hybrid beamforming architectures for single-user multi-antenna systems. However, recent studies have shown that deploying a single lossless and reciprocal MiLAC at the transmitter cannot achieve the same capacity as fully digital beamforming in multi-user scenarios. To address this limitation, we propose a novel two-layer MiLAC-aided beamforming architecture at the transmitter for a downlink multi-user multiple-input single-output (MISO) network. Leveraging microwave network theory, we first prove that lossless and reciprocal two-layer MiLAC-aided beamforming can achieve the same performance as digital beamforming, and we derive a closed-form mapping from digital beamforming to two-layer MiLAC analog beamforming. Furthermore, we formulate a sum-rate maximization problem and develop an efficient optimization framework to jointly optimize the power allocation and the scattering matrices for the proposed two-layer MiLAC architecture. Numerical results validate our theoretical findings and demonstrate that two-layer MiLAC achieves the same sum-rate performance as fully digital beamforming.
years
2026 5representative 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 transceivers support simultaneous active and passive beamforming with an optimal reconfiguration strategy and derived capacity region bounds on the active-passive rate trade-off.
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) for Simultaneous Active and Passive Beamforming
MiLAC transceivers support simultaneous active and passive beamforming with an optimal reconfiguration strategy and derived capacity region bounds on the active-passive rate trade-off.
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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.