Dynamic channel allocation based on genetic algorith in TD-SCDMA system

Author

Cai, Hongxiang ; Huang, Lianfen ; Gao, Zhibin ; Cui, Xiaonan

Author_Institution

Dept. of Commun. Eng., Xiamen Univ., Xiamen, China

fYear

2010

fDate

28-30 Nov. 2010

Firstpage

423

Lastpage

426

Abstract

Allocating appropriate channels to the users (UE) is an important challenge in mobile networks. Heuristics Algorithm may be used to solve this problem. In this paper, a new time slot allocation (TSA) algorithm based on genetic algorithm (GA) is proposed after comparing to the dynamic queue TSA algorithm. The new algorithm is simulated and analyzed on the TD-SCDMA Radio Resource Management Simulation Platform designed by ourselves. The result shows that the genetic TSA is better than the centralized TSA, also shows that code channels in different time slot should be allocated preferentially to mobile station (MS) over that of different code channels in the same slot for the symmetrical services in TD-SCDMA system.

Keywords

channel allocation; code division multiple access; genetic algorithms; heuristic programming; mobility management (mobile radio); queueing theory; space division multiple access; time division multiple access; TD-SCDMA system; code channels; dynamic channel allocation; dynamic queue TSA algorithm; genetic algorithm; heuristics algorithm; mobile networks; mobile station; radio resource management simulation platform; symmetrical services; time slot allocation algorithm; Algorithm design and analysis; Dynamic scheduling; Gallium; Heuristic algorithms; Interference; Resource management; Time division synchronous code division multiple access; TD-SCDMA; TSA; dynamic channel allocation; genetic algorithm; radio resource management;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Computing and Telecommunications (YC-ICT), 2010 IEEE Youth Conference on

Conference_Location

Beijing

Print_ISBN

978-1-4244-8883-4

Type

conf

DOI

10.1109/YCICT.2010.5713135

Filename

5713135