| 書目名稱 | Millimeter-Wave Networks |
| 副標(biāo)題 | Beamforming Design a |
| 編輯 | Peng Yang,Wen Wu,Xuemin Shen |
| 視頻video | http://file.papertrans.cn/635/634283/634283.mp4 |
| 概述 | First 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. |
| 叢書名稱 | Wireless Networks |
| 圖書封面 |  |
| 描述 | This book provides a comprehensive review and in-depth study on efficient beamforming design and rigorous performance analysis in mmWave networks, covering 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 beam pair with a low latency. Then, to analyze and enhance the performance of beamforming training (BFT) protocol in 802.11ad mmWave networks, an analytical model is presented to evaluate the performance of BFT protocol and an enhancement scheme is proposed to improve its performance in high user density scenarios. Furthermore, it investigates the beamforming-aided caching problem in mmWave networks, and proposes a device-to-device assisted cooperative edge caching to alleviate backhaul congestion and reduce content retrieval delay.?.This 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 p |
| 出版日期 | Book 2021 |
| 關(guān)鍵詞 | mmWave networks; fast beam alignment; machine learning; beamforming training protocol; Markov model; prot |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-030-88630-1 |
| isbn_softcover | 978-3-030-88632-5 |
| isbn_ebook | 978-3-030-88630-1Series ISSN 2366-1186 Series E-ISSN 2366-1445 |
| issn_series | 2366-1186 |
| copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
|Archiver|手機(jī)版|小黑屋|
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