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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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書誌詳細
主要な著者: Naoki Nishio, Tatsuya Otoshi, Masayuki Murata
フォーマット: Artigo
言語:Inglês
出版事項: IEEE 2025-01-01
シリーズ:IEEE Access
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オンライン・アクセス:https://ieeexplore.ieee.org/document/11072104/
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