A sensing-assisted channel estimation framework for distributed MIMO that tracks a moving target and uses ray tracing to estimate user channels achieves much higher accuracy and throughput than least-squares estimation in simulation.
Cell-free XL-MIMO meets multi-agent reinforcement learning: Architectures, challenges, and future directions,
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A General Sensing-assisted Channel Estimation Framework in Distributed MIMO Network
A sensing-assisted channel estimation framework for distributed MIMO that tracks a moving target and uses ray tracing to estimate user channels achieves much higher accuracy and throughput than least-squares estimation in simulation.