AI RESEARCH
Statistical Channel Fingerprint Construction for Massive MIMO: A Unified Tensor Learning Framework
arXiv CS.AI
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ArXi:2604.27574v1 Announce Type: cross Channel fingerprint (CF) is considered a key enabler for facilitating the acquisition of channel state information (CSI) in massive multiple-input multiple-output (MIMO) communication systems. In this work, we investigate a novel type of CF that s statistical CSI (sCSI) at each potential location, referred to as statistical CF (sCF). Specifically, we reveal the relationship between sCSI, namely the channel spatial covariance matrix (CSCM), and the channel power angular spectrum.