浮华 发表于 2025-3-21 19:42:49

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CHAR 发表于 2025-3-21 20:26:31

Book 2021ering beam alignment, beamforming training and beamforming-aided caching. Due to significant beam alignment latency between the transmitter and the receiver in existing mmWave systems, this book proposes a machine learning based beam alignment algorithm for mmWave networks to determine the optimal b

enflame 发表于 2025-3-22 01:05:00

Peng Yang,Wen Wu,Xuemin ShenFirst comprehensive books on beam alignment scheme in mmWave networks from a machine learning perspective.Provides a review of the state-of-the-art beamforming related technologies in mmWave networks.

哺乳动物 发表于 2025-3-22 07:50:05

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神经 发表于 2025-3-22 11:09:14

https://doi.org/10.1007/978-3-030-88630-1mmWave networks; fast beam alignment; machine learning; beamforming training protocol; Markov model; prot

Mumble 发表于 2025-3-22 13:52:28

978-3-030-88632-5The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl

外观 发表于 2025-3-22 20:57:00

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详细目录 发表于 2025-3-22 23:43:42

2366-1186 his book concludes with future research directions in the related fields of study. The presented beamforming designs and the corresponding research results covered in this book, provides valuable insights for p978-3-030-88632-5978-3-030-88630-1Series ISSN 2366-1186 Series E-ISSN 2366-1445

无礼回复 发表于 2025-3-23 02:59:05

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Ebct207 发表于 2025-3-23 06:40:38

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查看完整版本: Titlebook: Millimeter-Wave Networks; Beamforming Design a Peng Yang,Wen Wu,Xuemin Shen Book 2021 The Editor(s) (if applicable) and The Author(s), unde