東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Scalable signal processing in cloud ...

Zhang, Ying-Jun Angela.

FindBook

Google Book

Amazon

博客來

Scalable signal processing in cloud radio access networks

紀錄類型:	書目-電子資源 : 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.
出版者:	Cham :Springer International Publishing : : 2019.,
面頁冊數:	xi, 100 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Signal processing. -
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. - Cham :Springer International Publishing :2019. - xi, 100 p. :ill., digital ;24 cm. - 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:

533904
Signal processing.

LC Class. No.: TK5102.9 / .Z436 2019

Dewey Class. No.: 621.3822

Scalable signal processing in cloud radio access networks
LDR:02225nmm a2200325 a 4500 001 2190514
003 DE-He213
005 20191003171819.0
006 m d
007 cr nn 008maaau
008 200501s2019 gw s 0 eng d
020 $a 9783030158842 $q (electronic bk.)
020 $a 9783030158835 $q (paper)
024 7 $a 10.1007/978-3-030-15884-2 $2 doi
035 $a 978-3-030-15884-2
040 $a GP $c GP
041 0 $a eng
050 4 $a TK5102.9 $b .Z436 2019
072 7 $a TJKW $2 bicssc
072 7 $a TEC061000 $2 bisacsh
072 7 $a TJKW $2 thema
082 0 4 $a 621.3822 $2 23
090 $a TK5102.9 $b .Z63 2019
100 1 $a Zhang, Ying-Jun Angela. $3 3409056
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.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2019.
300 $a xi, 100 p. : $b ill., digital ; $c 24 cm.
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 Signal processing. $3 533904
650 0 $a Signal detection. $3 666362
650 0 $a Cloud computing. $3 1016782
650 1 4 $a Wireless and Mobile Communication. $3 3338159
650 2 4 $a Signal, Image and Speech Processing. $3 891073
650 2 4 $a Communications Engineering, Networks. $3 891094
700 1 $a Fan, Congmin. $3 3409057
700 1 $a Yuan, Xiaojun. $3 1058577
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a SpringerBriefs in electrical and computer engineering. $3 1565565
856 4 0 $u https://doi.org/10.1007/978-3-030-15884-2
950 $a Engineering (Springer-11647)