Peng Yang,Wen Wu,Ning Zhang,Xuemin Shen
Millimeter-Wave Networks: Beamforming Design and Performance Analysis
Millimeter-Wave Networks: Beamforming Design and Performance Analysis
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- More about Millimeter-Wave Networks: Beamforming Design and Performance Analysis
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. It proposes a machine learning-based beam alignment algorithm for low latency and enhances the performance of beamforming training in high user density scenarios. It also investigates beamforming-aided caching to alleviate backhaul congestion. The book concludes with future research directions in mmWave networking.
Format: Paperback / softback
Length: 160 pages
Publication date: 29 October 2022
Publisher: Springer Nature Switzerland AG
This book offers a comprehensive and in-depth exploration of efficient beamforming design and rigorous performance analysis in mmWave networks, encompassing beam alignment, beamforming training, and beamforming-aided caching. Due to the substantial beam alignment latency in existing mmWave systems, this book proposes a machine learning-based beam alignment algorithm for mmWave networks to determine the optimal beam pair with minimal latency. Furthermore, an analytical model is presented to evaluate the performance of the beamforming training (BFT) protocol in 802.11ad mmWave networks and an enhancement scheme is proposed to improve its performance in high user density scenarios. Additionally, this book investigates the beamforming-aided caching problem in mmWave networks and proposes a device-to-device assisted cooperative edge caching solution to alleviate backhaul congestion and reduce content retrieval delay. The book concludes with future research directions in the related fields of study.
The presented beamforming designs and the corresponding research outcomes covered in this book provide valuable insights for practical mmWave network deployment and inspire new ideas for future mmWave networking. This book is targeted at researchers working in the fields of mmWave networks, beamforming design, and resource management, as well as graduate students studying electrical engineering, computing engineering, and computer science. Professionals in the industry who work in this field will find this book useful as a reference.
Weight: 273g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030886325
Edition number: 1st ed. 2021
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