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Lizarraga et al., 2021 - Google Patents

Deep reinforcement learning for hybrid beamforming in multi-user millimeter wave wireless systems

Lizarraga et al., 2021

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Document ID
4870213313168869189
Author
Lizarraga E
Maggio G
Dowhuszko A
Publication year
Publication venue
2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring)

External Links

Snippet

This paper proposes a Machine Learning (ML) algorithm for hybrid beamforming in millimeter-wave wireless systems with multiple users. The time-varying nature of the wireless channels is taken into account when training the ML agent, which identifies the …
Continue reading at research.aalto.fi (PDF) (other versions)

Classifications

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    • H04B7/0465—Selection of precoding matrices or codebooks, e.g. using matrices antenna weighting taking physical layer constraints into account taking power constraints at power amplifier or emission constraints, e.g. constant modulus, into account
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