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001 978-3-030-88630-1
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020 _a9783030886301
_9978-3-030-88630-1
024 7 _a10.1007/978-3-030-88630-1
_2doi
050 4 _aTK5105.5-5105.9
072 7 _aUKN
_2bicssc
072 7 _aCOM043000
_2bisacsh
072 7 _aUKN
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082 0 4 _a004.6
_223
100 1 _aYang, Peng.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aMillimeter-Wave Networks
_h[electronic resource] :
_bBeamforming Design and Performance Analysis /
_cby Peng Yang, Wen Wu, Ning Zhang, Xuemin Shen.
250 _a1st ed. 2021.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2021.
300 _aXII, 160 p. 67 illus., 54 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aWireless Networks,
_x2366-1445
505 0 _aIntroduction -- 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.
520 _aThis 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.
650 0 _aComputer networks .
650 0 _aWireless communication systems.
650 0 _aMobile communication systems.
650 0 _aMachine learning.
650 0 _aTelecommunication.
650 1 4 _aComputer Communication Networks.
650 2 4 _aWireless and Mobile Communication.
650 2 4 _aMachine Learning.
650 2 4 _aCommunications Engineering, Networks.
700 1 _aWu, Wen.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
700 1 _aZhang, Ning.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
700 1 _aShen, Xuemin.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030886295
776 0 8 _iPrinted edition:
_z9783030886318
776 0 8 _iPrinted edition:
_z9783030886325
830 0 _aWireless Networks,
_x2366-1445
856 4 0 _uhttps://doi.org/10.1007/978-3-030-88630-1
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
942 _cSPRINGER
999 _c178210
_d178210