Fuzzy effect based dynamic channel assignment

M. Abdul-Haleem, K. Cheung, J. Chuang
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引用次数: 7

Abstract

A class of dynamic channel assignment (DCA) algorithms referred to as the fuzzy distributed DCA (FDDCA) is presented. From decision point of view, conventional DCA algorithms are global and crisp decision makers. The decision of to or not to assign a channel for an incoming call is a crisp logic evaluation over a set of crisp system constraints. Complex logic operations are normally required to achieve the performance bound, resulting in increased cost and delay. In contrast, FDDCA algorithms are soft decision makers and the decision making is distributed. Every base station is responsible for making decisions of assigning channels for incoming calls. Fuzzy logic is employed as the decision making logic. Interference constraints are softened and treated as fuzzy sets characterized by membership functions. The algorithm was tested on the example by Sivarajan et. al. (see Proc 40th IEEE Vehicular Tech Conf., p. 631-637, May 1990), and is shown to outperform crisp DCA algorithms in throughput capacities, especially within the practical range of 1-5% blocking.<>
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基于模糊效应的动态信道分配
提出了一类动态信道分配算法,称为模糊分布式信道分配算法(FDDCA)。从决策角度看,传统的DCA算法是全局的、清晰的决策者。是否为传入呼叫分配信道的决定是对一组清晰的系统约束的清晰逻辑评估。通常需要复杂的逻辑操作来实现性能限制,从而增加了成本和延迟。相比之下,FDDCA算法是软决策者,决策是分布式的。每个基站都负责为入站呼叫分配信道。决策逻辑采用模糊逻辑。对干扰约束进行软化处理,将其处理为具有隶属函数特征的模糊集。该算法在Sivarajan等人的例子上进行了测试(参见Proc 40 IEEE车辆技术会议,p. 631-637, 1990年5月),并被证明在吞吐量方面优于清晰的DCA算法,特别是在1-5%阻塞的实际范围内。
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