Language:
English
繁體中文
Help
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Millimeter-Wave Networks = Beamformi...
~
Yang, Peng.
Millimeter-Wave Networks = Beamforming Design and Performance Analysis /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Millimeter-Wave Networks/ by Peng Yang, Wen Wu, Ning Zhang, Xuemin Shen.
Reminder of title:
Beamforming Design and Performance Analysis /
Author:
Yang, Peng.
other author:
Wu, Wen.
Description:
XII, 160 p. 67 illus., 54 illus. in color.online resource. :
Contained By:
Springer Nature eBook
Subject:
Computer communication systems. -
Online resource:
https://doi.org/10.1007/978-3-030-88630-1
ISBN:
9783030886301
Millimeter-Wave Networks = Beamforming Design and Performance Analysis /
Yang, Peng.
Millimeter-Wave Networks
Beamforming Design and Performance Analysis /[electronic resource] :by Peng Yang, Wen Wu, Ning Zhang, Xuemin Shen. - 1st ed. 2021. - XII, 160 p. 67 illus., 54 illus. in color.online resource. - Wireless Networks,2366-1445. - Wireless Networks,.
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.
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.
ISBN: 9783030886301
Standard No.: 10.1007/978-3-030-88630-1doiSubjects--Topical Terms:
1115394
Computer communication systems.
LC Class. No.: TK5105.5-5105.9
Dewey Class. No.: 004.6
Millimeter-Wave Networks = Beamforming Design and Performance Analysis /
LDR
:03322nam a22004095i 4500
001
1056693
003
DE-He213
005
20211027154532.0
007
cr nn 008mamaa
008
220103s2021 sz | s |||| 0|eng d
020
$a
9783030886301
$9
978-3-030-88630-1
024
7
$a
10.1007/978-3-030-88630-1
$2
doi
035
$a
978-3-030-88630-1
050
4
$a
TK5105.5-5105.9
072
7
$a
UKN
$2
bicssc
072
7
$a
COM075000
$2
bisacsh
072
7
$a
UKN
$2
thema
082
0 4
$a
004.6
$2
23
100
1
$a
Yang, Peng.
$e
author.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1362053
245
1 0
$a
Millimeter-Wave Networks
$h
[electronic resource] :
$b
Beamforming Design and Performance Analysis /
$c
by Peng Yang, Wen Wu, Ning Zhang, Xuemin Shen.
250
$a
1st ed. 2021.
264
1
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2021.
300
$a
XII, 160 p. 67 illus., 54 illus. in color.
$b
online resource.
336
$a
text
$b
txt
$2
rdacontent
337
$a
computer
$b
c
$2
rdamedia
338
$a
online resource
$b
cr
$2
rdacarrier
347
$a
text file
$b
PDF
$2
rda
490
1
$a
Wireless Networks,
$x
2366-1445
505
0
$a
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.
520
$a
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.
650
0
$a
Computer communication systems.
$3
1115394
650
0
$a
Wireless communication systems.
$3
562740
650
0
$a
Mobile communication systems.
$3
562917
650
0
$a
Machine learning.
$3
561253
650
0
$a
Electrical engineering.
$3
596380
650
1 4
$a
Computer Communication Networks.
$3
669310
650
2 4
$a
Wireless and Mobile Communication.
$3
1207058
650
2 4
$a
Machine Learning.
$3
1137723
650
2 4
$a
Communications Engineering, Networks.
$3
669809
700
1
$a
Wu, Wen.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1180262
700
1
$a
Zhang, Ning.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1023566
700
1
$a
Shen, Xuemin.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1078076
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer Nature eBook
776
0 8
$i
Printed edition:
$z
9783030886295
776
0 8
$i
Printed edition:
$z
9783030886318
776
0 8
$i
Printed edition:
$z
9783030886325
830
0
$a
Wireless Networks,
$x
2366-1186
$3
1258208
856
4 0
$u
https://doi.org/10.1007/978-3-030-88630-1
912
$a
ZDB-2-SCS
912
$a
ZDB-2-SXCS
950
$a
Computer Science (SpringerNature-11645)
950
$a
Computer Science (R0) (SpringerNature-43710)
based on 0 review(s)
Multimedia
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login