Predictive Beamforming With Active Inference Under Continuous Time-Varying Channels

Predictive Beamforming With Active Inference Under Continuous Time-Varying Channels

In dynamic communication environments, where channel conditions change continuously over time, beamforming employing massive multiple-input multiple-output (MIMO) in the millimeter wave (mmWave) band requires frequent beam re-alignment. To reduce the beam search overhead, hierarchical codebooks have...

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Bibliographic Details
Main Authors: Naoki Nishio, Tatsuya Otoshi, Masayuki Murata
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Millimeter wave
beamforming
hierarchical codebook
beam training
active inference
free energy principle
Online Access:https://ieeexplore.ieee.org/document/11072104/
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https://ieeexplore.ieee.org/document/11072104/

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