Title :
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
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;
Conference_Titel :
Information Computing and Telecommunications (YC-ICT), 2010 IEEE Youth Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-8883-4
DOI :
10.1109/YCICT.2010.5713135
