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

H. Cai, Lianfeng Huang, Zhibin Gao, Xiaonan Cui
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引用次数: 5

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.
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TD-SCDMA系统中基于遗传算法的动态信道分配
为用户分配合适的信道是移动网络中的一个重要挑战。启发式算法可以用来解决这个问题。本文在比较了动态队列时隙分配算法的基础上,提出了一种新的基于遗传算法的时隙分配算法。在自行设计的TD-SCDMA无线资源管理仿真平台上对新算法进行了仿真分析。结果表明,遗传TSA优于集中式TSA,并表明在TD-SCDMA系统中,对于对称业务,不同时隙的编码信道应优先分配给移动台(MS),而不是同一时隙的不同编码信道。
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