MSP-CACRR: Multidimensional Sequential Patterns Based Call Admission Control and Resource Reservation for Next-Generation Wireless Cellular Networks

Author

Rashad, Sherif ; Kantardzic, Mehmed ; Kum, Anup

Author_Institution

Dept. of Math. & Comput. Sci., Morehead State Univ., KY

fYear

2007

fDate

March 1 2007-April 5 2007

Firstpage

552

Lastpage

559

Abstract

In this paper, we propose and evaluate a multidimensional sequential pattern (MSP) based CAC and RR technique called MSP-CACRR technique which is designed for next generation of cellular networks. MSP-CACRR is based on an efficient multidimensional sequence mining approach called MobilePrefixSpan and is designed for the wireless cellular networks. MobilePrefixSpan is an extension version of the well-known sequence mining technique PrefixSpan and its multidimensional sequences version. The spatial, temporal, and usage information are used in MobilePrefixSpan to extract the movement patterns of mobile users. Simulation was conducted to study the effect of each of these dimensions on the network performance. Simulation results show that the proposed MSP-CACRR technique uses the mobility patterns effectively to enhance the performance of cellular networks

Keywords

cellular radio; data mining; telecommunication congestion control; MSP-CACRR; MobilePrefixSpan; call admission control; multidimensional sequence mining; multidimensional sequential pattern; multidimensional sequential patterns; resource reservation; wireless cellular networks; Bandwidth; Call admission control; Computer science; Data mining; Land mobile radio cellular systems; Multidimensional systems; Next generation networking; Quality of service; Resource management; USA Councils;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence and Data Mining, 2007. CIDM 2007. IEEE Symposium on

Conference_Location

Honolulu, HI

Print_ISBN

1-4244-0705-2

Type

conf

DOI

10.1109/CIDM.2007.368924

Filename

4221348