An inception-residual neural network learns optimal beams in UM-MIMO THz systems from received powers using hierarchical codebooks, lowering complexity versus exhaustive or hierarchical search.
THz-empowered UA Vs in 6G: Opportunities, challenges, and trade-offs,
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Low-Complexity Learning-Based Beamforming for Ultra-Massive MIMO THz Communications
An inception-residual neural network learns optimal beams in UM-MIMO THz systems from received powers using hierarchical codebooks, lowering complexity versus exhaustive or hierarchical search.