Derives one-bit CRBs for MIMO ISAC targets and uses ADMM to optimize waveforms trading CRB against SEP under power constraint.
Majorization-minimization algo- rithms in signal processing, communications, and machine learning,
4 Pith papers cite this work. Polarity classification is still indexing.
4
Pith papers citing it
fields
eess.SP 4years
2026 4representative citing papers
Analog RF computing performs neural network matrix-vector multiplications via RF waveform mixing at clients in MU-MIMO systems, reducing energy consumption by nearly two orders of magnitude compared to digital computing.
Movable antennas at the base station, jointly optimized with beamforming, deliver substantial gains in worst-case sum rate for vehicular networks despite imperfect CSI.
DOLG amortizes non-convex joint optimization in THz CF-ISAC systems into a graph transformer-guided distributed RL policy that balances communication and sensing performance better than baselines in simulations.
citing papers explorer
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CRB-Based Waveform Optimization for MIMO ISAC Systems With One-Bit ADCs
Derives one-bit CRBs for MIMO ISAC targets and uses ADMM to optimize waveforms trading CRB against SEP under power constraint.
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Analog RF Computing: A New Paradigm for Energy-Efficient Edge AI Over MU-MIMO Systems
Analog RF computing performs neural network matrix-vector multiplications via RF waveform mixing at clients in MU-MIMO systems, reducing energy consumption by nearly two orders of magnitude compared to digital computing.
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Movable-Antenna Enabled Robust Vehicular Consumer Networks Under Imperfect CSI
Movable antennas at the base station, jointly optimized with beamforming, deliver substantial gains in worst-case sum rate for vehicular networks despite imperfect CSI.
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Distributed Optimization-Learning with Graph Transformers for Terahertz Cell-Free Integrated Sensing and Communication Systems
DOLG amortizes non-convex joint optimization in THz CF-ISAC systems into a graph transformer-guided distributed RL policy that balances communication and sensing performance better than baselines in simulations.