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Waveform Learning under Phase Noise Impairment for Sub-THz Communications
The large untapped spectrum in sub-THz allows for ultra-high throughput communication to realize many seemingly impossible applications in 6G.
Blind Coherent Preamble Detection via Neural Networks
Instead, we propose to use NN only for \textit{blind} coherent combining of the signals in the detector to compensate for the channel effect, thus maximize the signal to noise ratio.
Turbo-AI: Iterative Machine Learning Based Channel Estimation for 2D Massive Arrays
Furthermore, we propose an iterative training approach, referred to as Turbo-AI.
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