Search Results for author: Tomoaki Ohtsuki

Found 1 papers, 0 papers with code

Deep Learning and Image Super-Resolution-Guided Beam and Power Allocation for mmWave Networks

no code implementations8 May 2023 Yuwen Cao, Tomoaki Ohtsuki, Setareh Maghsudi, Tony Q. S. Quek

In this paper, we develop a deep learning (DL)-guided hybrid beam and power allocation approach for multiuser millimeter-wave (mmWave) networks, which facilitates swift beamforming at the base station (BS).

Image Super-Resolution

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