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

Next generation scheduling algorithm...

Sevindik, Volkan.

FindBook

Google Book

Amazon

博客來

Next generation scheduling algorithms for CDMA based networks.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Next generation scheduling algorithms for CDMA based networks./
作者:	Sevindik, Volkan.
面頁冊數:	245 p.
附註:	Source: Dissertation Abstracts International, Volume: 72-03, Section: B, page: 1685.
Contained By:	Dissertation Abstracts International72-03B.
標題:	Engineering, Computer. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3442180
ISBN:	9781124462325

Next generation scheduling algorithms for CDMA based networks.
Sevindik, Volkan.

Next generation scheduling algorithms for CDMA based networks. - 245 p.

Source: Dissertation Abstracts International, Volume: 72-03, Section: B, page: 1685.

Thesis (Ph.D.)--University of Massachusetts Lowell, 2010.

As wireless mobile data usage grows almost exponentially, it becomes crucial to design more efficient resource management algorithm. Having new user prioritization and classification techniques is essential for managing resources for next generation cellular wireless communication systems. Most of the scheduling algorithms developed so far depend on parameters that are first- or second-order functions of fast changing channel conditions. They do not take network and user specific QoS parameters into account. Therefore, network designers can not have control over scheduling process in order to differentiate user traffic. The purpose of next-generation scheduling algorithms is to provide users with the required throughput for the applications they are running at the time they need them.

ISBN: 9781124462325Subjects--Topical Terms:

1669061
Engineering, Computer.

Next generation scheduling algorithms for CDMA based networks.
LDR:02349nam 2200289 4500 001 1403704
005 20111111143225.5
008 130515s2010 ||||||||||||||||| ||eng d
020 $a 9781124462325
035 $a (UMI)AAI3442180
035 $a AAI3442180
040 $a UMI $c UMI
100 1 $a Sevindik, Volkan. $3 1682982
245 1 0 $a Next generation scheduling algorithms for CDMA based networks.
300 $a 245 p.
500 $a Source: Dissertation Abstracts International, Volume: 72-03, Section: B, page: 1685.
500 $a Adviser: Jay Weitzen.
502 $a Thesis (Ph.D.)--University of Massachusetts Lowell, 2010.
520 $a As wireless mobile data usage grows almost exponentially, it becomes crucial to design more efficient resource management algorithm. Having new user prioritization and classification techniques is essential for managing resources for next generation cellular wireless communication systems. Most of the scheduling algorithms developed so far depend on parameters that are first- or second-order functions of fast changing channel conditions. They do not take network and user specific QoS parameters into account. Therefore, network designers can not have control over scheduling process in order to differentiate user traffic. The purpose of next-generation scheduling algorithms is to provide users with the required throughput for the applications they are running at the time they need them.
520 $a In this thesis, we propose three new QoS-based scheduling algorithms and, provide their mathematical analysis and the simulation results. The contributions of this research to the general state of knowledge lie in four areas; i) enhance the performance of existing scheduling algorithms used in CDMA 1xEVDO-type systems, ii) define new QoS based scheduling techniques for next generation CDMA based networks, iii) optimize the performance of current scheduler algorithm of CDMA 1xEVDO network, and present the real data collected in live air CDMA network, and iv) develop a new simulation environment for next-generation CDMA based cellular wireless networks.
590 $a School code: 0111.
650 4 $a Engineering, Computer. $3 1669061
650 4 $a Engineering, Electronics and Electrical. $3 626636
690 $a 0464
690 $a 0544
710 2 $a University of Massachusetts Lowell. $3 1017839
773 0 $t Dissertation Abstracts International $g 72-03B.
790 1 0 $a Weitzen, Jay, $e advisor
790 $a 0111
791 $a Ph.D.
792 $a 2010
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3442180