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Can I read Millimeter-Wave Networks: Beamforming Design and Performance Analysis (Wireless Networks) on EtoBox?

Millimeter-Wave Networks: Beamforming Design and Performance Analysis (Wireless Networks) by Peng Yang;Wen Wu;Ning Zhang;Xuemin Shen(auth.) is a nonfiction available to read on EtoBox.

What is Millimeter-Wave Networks: Beamforming Design and Performance Analysis (Wireless Networks) about?

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 pr

Who reads Millimeter-Wave Networks: Beamforming Design and Performance Analysis (Wireless Networks)?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Peng Yang;Wen Wu;Ning Zhang;Xuemin Shen(auth.)
Publisher
Springer International Publishing : Imprint: Springer
Published
2021
Language
EN
ISBN
9783030886318
Category
nonfiction
Subjects
Engineering, Mathematics, Computer Science

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