國立高雄大學圖資館 |

語系: 繁體中文

說明(常見問題)

圖資館首頁

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

QoE management in wireless networks

SpringerLink (Online service)

QoE management in wireless networks

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	QoE management in wireless networksby Ying Wang, Wen'an Zhou, Ping Zhang.
作者:	Wang, Ying.
其他作者:	Zhou, Wen'an.
出版者:	Cham :Springer International Publishing :2017.
面頁冊數:	xii, 60 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer eBooks
標題:	Wireless communication systemsQuality control.
電子資源:	http://dx.doi.org/10.1007/978-3-319-42454-5
ISBN:	9783319424545$q(electronic bk.)

QoE management in wireless networks
Wang, Ying.

QoE management in wireless networks[electronic resource] /by Ying Wang, Wen'an Zhou, Ping Zhang. - Cham :Springer International Publishing :2017. - xii, 60 p. :ill. (some col.), digital ;24 cm. - SpringerBriefs in electrical and computer engineering,2191-8112. - SpringerBriefs in electrical and computer engineering..

Introduction -- Background and Literature Survey -- Architecture of Data-driven Personalized QoE Management -- QoE Oriented Resource Allocation in Wireless Networks -- Implementation and Demonstration of QoE Measurement Platform -- Conclusion.

This SpringerBrief presents research results on QoE management schemes for mobile services, including user services, and resource allocation. Along with a review of the research literature, it offers a data-driven architecture for personalized QoE management in wireless networks. The primary focus is on introducing efficient personalized character extraction mechanisms, e.g., context-aware Bayesian graph model, and cooperative QoE management mechanisms. Moreover, in order to demonstrate in the effectiveness of the QoE model, a QoE measurement platform is described and its collected data examined. The brief concludes with a discussion of future research directions. The example mechanisms and the data-driven architecture provide useful insights into the designs of QoE management, and motivate a new line of thinking for users' satisfaction in future wireless networks.

ISBN: 9783319424545$q(electronic bk.)

Standard No.: 10.1007/978-3-319-42454-5doiSubjects--Topical Terms:

292612
Wireless communication systems
--Quality control.

LC Class. No.: TK5103.2

Dewey Class. No.: 621.382

QoE management in wireless networks
LDR:02137nmm a2200325 a 4500 001 504725
003 DE-He213
005 20160801184314.0
006 m d
007 cr nn 008maaau
008 171030s2017 gw s 0 eng d
020 $a 9783319424545$q(electronic bk.)
020 $a 9783319424521$q(paper)
024 7 $a 10.1007/978-3-319-42454-5 $2 doi
035 $a 978-3-319-42454-5
040 $a GP $c GP
041 0 $a eng
050 4 $a TK5103.2
072 7 $a TJK $2 bicssc
072 7 $a TEC041000 $2 bisacsh
082 0 4 $a 621.382 $2 23
090 $a TK5103.2 $b .W246 2017
100 1 $a Wang, Ying. $3 482354
245 1 0 $a QoE management in wireless networks $h [electronic resource] / $c by Ying Wang, Wen'an Zhou, Ping Zhang.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2017.
300 $a xii, 60 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a SpringerBriefs in electrical and computer engineering, $x 2191-8112
505 0 $a Introduction -- Background and Literature Survey -- Architecture of Data-driven Personalized QoE Management -- QoE Oriented Resource Allocation in Wireless Networks -- Implementation and Demonstration of QoE Measurement Platform -- Conclusion.
520 $a This SpringerBrief presents research results on QoE management schemes for mobile services, including user services, and resource allocation. Along with a review of the research literature, it offers a data-driven architecture for personalized QoE management in wireless networks. The primary focus is on introducing efficient personalized character extraction mechanisms, e.g., context-aware Bayesian graph model, and cooperative QoE management mechanisms. Moreover, in order to demonstrate in the effectiveness of the QoE model, a QoE measurement platform is described and its collected data examined. The brief concludes with a discussion of future research directions. The example mechanisms and the data-driven architecture provide useful insights into the designs of QoE management, and motivate a new line of thinking for users' satisfaction in future wireless networks.
650 0 $a Wireless communication systems $x Quality control. $3 292612
650 0 $a Wireless communication systems $x Management. $3 226618
650 1 4 $a Engineering. $3 210888
650 2 4 $a Communications Engineering, Networks. $3 273745
650 2 4 $a Computer Communication Networks. $3 218087
650 2 4 $a Information Systems and Communication Service. $3 274025
700 1 $a Zhou, Wen'an. $3 769657
700 1 $a Zhang, Ping. $3 243271
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
830 0 $a SpringerBriefs in electrical and computer engineering. $3 557682
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-42454-5
950 $a Engineering (Springer-11647)