Millimeter-wave networks : beamforming design and performance analysis / Peng Yang, Wen Wu, Ning Zhang, Xuemin Shen.
2021
TK5103.4835 .Y36 2021
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Details
Title
Millimeter-wave networks : beamforming design and performance analysis / Peng Yang, Wen Wu, Ning Zhang, Xuemin Shen.
Author
Yang, Peng, author.
ISBN
9783030886301 (electronic bk.)
3030886301 (electronic bk.)
9783030886295
3030886298
3030886301 (electronic bk.)
9783030886295
3030886298
Published
Cham : Springer, [2021]
Copyright
©2021
Language
English
Description
1 online resource : illustrations (chiefly color)
Item Number
10.1007/978-3-030-88630-1 doi
Call Number
TK5103.4835 .Y36 2021
Dewey Decimal Classification
621.384
Summary
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.
Bibliography, etc. Note
Includes bibliographical references.
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Access limited to authorized users.
Digital File Characteristics
text file
PDF
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed November 15, 2021).
Series
Wireless networks (Springer (Firm)) 2366-1445
Available in Other Form
Print version: 9783030886295
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Table of Contents
Introduction
Literature Review of mmWave Networks
Machine Learning Based Beam Alignment in mmWave Networks
Beamforming Training Protocol Design and Analysis
Beamforming-Aided Cooperative Edge Caching in mmWave Dense Networks
Summary and Future Directions.
Literature Review of mmWave Networks
Machine Learning Based Beam Alignment in mmWave Networks
Beamforming Training Protocol Design and Analysis
Beamforming-Aided Cooperative Edge Caching in mmWave Dense Networks
Summary and Future Directions.