Michael R. Neuman
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Impact of Channel and System Parameters on Performance Evaluation of Frequency Extrapolation Using Machine Learning Open
Channel extrapolation in the frequency domain is an important tool for reducing overhead and latency in frequency division duplex (FDD) wireless communications systems. Over the past years, various machine learning (ML) techniques have bee…
Context-Conditioned Spatio-Temporal Predictive Learning for Reliable V2V Channel Prediction Open
Achieving reliable multidimensional Vehicle-to-Vehicle (V2V) channel state information (CSI) prediction is both challenging and crucial for optimizing downstream tasks that depend on instantaneous CSI. This work extends traditional predict…