DocumentCode :
1707796
Title :
Quota-based dynamic network selection for HSPA/UMTS multi-network users
Author :
Chung, Yao-liang ; Tsai, Zsehong ; Yang, Chih-Hui
Author_Institution :
Grad. Inst. of Commun. Eng., Nat. Taiwan Univ., Taipei, Taiwan
fYear :
2012
Firstpage :
899
Lastpage :
903
Abstract :
In this paper, we present a quota-based dynamic network selection algorithm for accommodating access requests in a multi-network (HSPA+, HSDPA and UMTS) co-location environment, which is common for today´s 3G operators. In most commercial networks, the accesses of individual users are often charged at a flat rate. In such a charging scheme, a few extremely heavy users may degrade the performance and the fairness of the whole network. Therefore, we propose an algorithm called Quota-based Utilization Balance Algorithm (QUBA), designed to settle such a problem and also maximize the overall utility of all users. The design philosophy of QUBA is to let the system utilization in the 2 fastest networks, HSPA+ and HSDPA, be statistically balanced and sufficiently utilized. Performance metrics in terms of the overall system utility (i.e., the satisfaction index) and the blocking probability are investigated. From simulation results, it is shown that the QUBA algorithm has significant improvements in the aspect of the overall system performance than that of existing approaches.
Keywords :
3G mobile communication; packet radio networks; probability; resource allocation; telecommunication congestion control; HSDPA; HSPA+; QUBA; UMTS; blocking probability; maximization; multinetwork users access; performance metrics; quota-based dynamic network selection; quota-based utilization balance algorithm; statistical analysis; 3G mobile communication; Multiaccess communication; Spread spectrum communication; Switches; USA Councils; 3.5G data card; HSPA; UMTS; admission control; dynamic network selection; multi-network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Consumer Communications and Networking Conference (CCNC), 2012 IEEE
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4577-2070-3
Type :
conf
DOI :
10.1109/CCNC.2012.6180956
Filename :
6180956
Link To Document :
بازگشت