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

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.