語系:
繁體中文
English
說明(常見問題)
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Scalable Signal Processing in Cloud ...
~
Zhang, Ying-Jun Angela.
Scalable Signal Processing in Cloud Radio Access Networks
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Scalable Signal Processing in Cloud Radio Access Networks/ by Ying-Jun Angela Zhang, Congmin Fan, Xiaojun Yuan.
作者:
Zhang, Ying-Jun Angela.
其他作者:
Fan, Congmin.
面頁冊數:
XI, 100 p. 30 illus.online resource. :
Contained By:
Springer Nature eBook
標題:
Wireless communication systems. -
電子資源:
https://doi.org/10.1007/978-3-030-15884-2
ISBN:
9783030158842
Scalable Signal Processing in Cloud Radio Access Networks
Zhang, Ying-Jun Angela.
Scalable Signal Processing in Cloud Radio Access Networks
[electronic resource] /by Ying-Jun Angela Zhang, Congmin Fan, Xiaojun Yuan. - 1st ed. 2019. - XI, 100 p. 30 illus.online resource. - SpringerBriefs in Electrical and Computer Engineering,2191-8112. - SpringerBriefs in Electrical and Computer Engineering,.
This Springerbreif introduces a threshold-based channel sparsification approach, and then, the sparsity is exploited for scalable channel training. Last but not least, this brief introduces two scalable cooperative signal detection algorithms in C-RANs. The authors wish to spur new research activities in the following important question: how to leverage the revolutionary architecture of C-RAN to attain unprecedented system capacity at an affordable cost and complexity. Cloud radio access network (C-RAN) is a novel mobile network architecture that has a lot of significance in future wireless networks like 5G. the high density of remote radio heads in C-RANs leads to severe scalability issues in terms of computational and implementation complexities. This Springerbrief undertakes a comprehensive study on scalable signal processing for C-RANs, where ‘scalable’ means that the computational and implementation complexities do not grow rapidly with the network size. This Springerbrief will be target researchers and professionals working in the Cloud Radio Access Network (C-Ran) field, as well as advanced-level students studying electrical engineering.
ISBN: 9783030158842
Standard No.: 10.1007/978-3-030-15884-2doiSubjects--Topical Terms:
562740
Wireless communication systems.
LC Class. No.: TK5103.2-.4885
Dewey Class. No.: 384.5
Scalable Signal Processing in Cloud Radio Access Networks
LDR
:02536nam a22003855i 4500
001
1011568
003
DE-He213
005
20200702025107.0
007
cr nn 008mamaa
008
210106s2019 gw | s |||| 0|eng d
020
$a
9783030158842
$9
978-3-030-15884-2
024
7
$a
10.1007/978-3-030-15884-2
$2
doi
035
$a
978-3-030-15884-2
050
4
$a
TK5103.2-.4885
072
7
$a
TJKW
$2
bicssc
072
7
$a
TEC061000
$2
bisacsh
072
7
$a
TJKW
$2
thema
082
0 4
$a
384.5
$2
23
100
1
$a
Zhang, Ying-Jun Angela.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1226007
245
1 0
$a
Scalable Signal Processing in Cloud Radio Access Networks
$h
[electronic resource] /
$c
by Ying-Jun Angela Zhang, Congmin Fan, Xiaojun Yuan.
250
$a
1st ed. 2019.
264
1
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2019.
300
$a
XI, 100 p. 30 illus.
$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
SpringerBriefs in Electrical and Computer Engineering,
$x
2191-8112
520
$a
This Springerbreif introduces a threshold-based channel sparsification approach, and then, the sparsity is exploited for scalable channel training. Last but not least, this brief introduces two scalable cooperative signal detection algorithms in C-RANs. The authors wish to spur new research activities in the following important question: how to leverage the revolutionary architecture of C-RAN to attain unprecedented system capacity at an affordable cost and complexity. Cloud radio access network (C-RAN) is a novel mobile network architecture that has a lot of significance in future wireless networks like 5G. the high density of remote radio heads in C-RANs leads to severe scalability issues in terms of computational and implementation complexities. This Springerbrief undertakes a comprehensive study on scalable signal processing for C-RANs, where ‘scalable’ means that the computational and implementation complexities do not grow rapidly with the network size. This Springerbrief will be target researchers and professionals working in the Cloud Radio Access Network (C-Ran) field, as well as advanced-level students studying electrical engineering.
650
0
$a
Wireless communication systems.
$3
562740
650
0
$a
Mobile communication systems.
$3
562917
650
0
$a
Signal processing.
$3
561459
650
0
$a
Image processing.
$3
557495
650
0
$a
Speech processing systems.
$3
564428
650
0
$a
Electrical engineering.
$3
596380
650
1 4
$a
Wireless and Mobile Communication.
$3
1207058
650
2 4
$a
Signal, Image and Speech Processing.
$3
670837
650
2 4
$a
Communications Engineering, Networks.
$3
669809
700
1
$a
Fan, Congmin.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1226008
700
1
$a
Yuan, Xiaojun.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1226009
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer Nature eBook
776
0 8
$i
Printed edition:
$z
9783030158835
776
0 8
$i
Printed edition:
$z
9783030158859
830
0
$a
SpringerBriefs in Electrical and Computer Engineering,
$x
2191-8112
$3
1253713
856
4 0
$u
https://doi.org/10.1007/978-3-030-15884-2
912
$a
ZDB-2-ENG
912
$a
ZDB-2-SXE
950
$a
Engineering (SpringerNature-11647)
950
$a
Engineering (R0) (SpringerNature-43712)
筆 0 讀者評論
多媒體
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼[密碼必須為2種組合(英文和數字)及長度為10碼以上]
登入