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Coherent wireless reception depends on accurate channel state information (CSI), yet acquiring CSI through pilot transmission consumes time–frequency resources that could otherwise carry data. This tradeoff becomes more pronounced in time-varying and frequency-selective channels and in short-packet communications, where accurate channel estimation is challenging and pilot overhead can be significant. This dissertation investigates how CSI […]

Artificial intelligence and machine learning models depend on large and diverse datasets to learn patterns across different situations and generalize to cases they have not seen before. In cybersecurity, suitable data is difficult to find for two main reasons: first, sensitive information limits what organizations can share; second, public datasets often lack the coverage or […]