Isbn: 9783030886325 - millimeter-wave networks: beamforming design and performance analysis (13 risultati)

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  • Lingua: Inglese

    Editore: Springer, 2022

    3030886328 / 9783030886325

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    Condizione: New. In English.

  • Lingua: Inglese

    Editore: Springer, 2022

    3030886328 / 9783030886325

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  • Lingua: Inglese

    Editore: Springer, 2022

    3030886328 / 9783030886325

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    Condizione: New. 1st ed. 2021 edition NO-PA16APR2015-KAP.

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    Lingua: Inglese

    Editore: Springer, 2022

    3030886328 / 9783030886325

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    Taschenbuch. Condizione: Neu. Millimeter-Wave Networks | Beamforming Design and Performance Analysis | Peng Yang (u. a.) | Taschenbuch | Wireless Networks | xii | Englisch | 2022 | Springer | EAN 9783030886325 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

  • Lingua: Inglese

    Editore: Springer, 2022

    3030886328 / 9783030886325

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    Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books

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    Paperback. Condizione: Brand New. 172 pages. 9.25x6.10x0.47 inches. In Stock.

  • Lingua: Inglese

    Editore: Springer, 2022

    3030886328 / 9783030886325

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    Da: Kennys Bookstore, Olney, MD, U.S.A.Kennys Bookstore

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  • Lingua: Inglese

    Editore: Springer, 2022

    3030886328 / 9783030886325

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    Da: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand

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    Condizione: new. Questo è un articolo print on demand.

  • Lingua: Inglese

    Editore: Springer International Publishing Okt 2022, 2022

    3030886328 / 9783030886325

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    Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.

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    Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 practical mmWave network deployment and motivate new ideas for future mmWave networking.This book targets researchers working in the fields of mmWave networks, beamforming design, and resource management as well as graduate students studying the areas of electrical engineering, computing engineering and computer science. Professionals in industry who work in this field will find this book useful as a reference. 172 pp. Englisch.

  • Lingua: Inglese

    Editore: Springer International Publishing, 2022

    3030886328 / 9783030886325

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    Da: moluna, Greven, Germaniamoluna

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    Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. First comprehensive books on beam alignment scheme in mmWave networks from a machine learning perspectiveProvides a review of the state-of-the-art beamforming related technologies in mmWave networksPresents the latest studies of performance.

  • Lingua: Inglese

    Editore: Springer, 2022

    3030886328 / 9783030886325

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    Da: Majestic Books, Hounslow, Regno UnitoMajestic Books

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    Condizione: New. Print on Demand.

  • Lingua: Inglese

    Editore: Springer, Springer Okt 2022, 2022

    3030886328 / 9783030886325

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    Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000

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    Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 172 pp. Englisch.

  • Lingua: Inglese

    Editore: Springer, 2022

    3030886328 / 9783030886325

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    Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios

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    Condizione: New. PRINT ON DEMAND.

  • Lingua: Inglese

    Editore: Palgrave Macmillan, 2022

    3030886328 / 9783030886325

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    Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH

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    EUR 223,07

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    Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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 practical mmWave network deployment and motivate new ideas for future mmWave networking.This book targets researchers working in the fields of mmWave networks, beamforming design, and resource management as well as graduate students studying the areas of electrical engineering, computing engineering and computer science. Professionals in industry who work in this field will find this book useful as a reference.