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A mathematical model for a GA-based dynamic excess bandwidth allocation algorithm for hybrid PON and wireless technology integrations for next generation broadband access networks

机译:一种基于GA的动态过度带宽分配算法的数学模型,用于下一代宽带接入网络的混合PON和无线技术集成

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Optical and wireless integration scheme merges the high-speed and high-capacity of the optical networks with the low-cost, wide-coverage and mobility features of the wireless counterparts for the Subscriber Stations (SSs). It is also financially viable for the telecommunication service providers, particularly in the rural area where the development of the optical infrastructure or expansion of the exiting telecommunication solutions are either too costly or unreachable. In order to successfully integrate the two technologies, there are some technical concerns in terms of Architectural aspects, Physical Layer features and Media Access Control (MAC) issues. This paper is mainly focused on the MAC-related issues, particularly the dynamic excess bandwidth allocations where the hybrid Passive Optical Network (hybrid PON) is employed as a back haul solution for the wireless counterpart. A mathematical model for a Genetic Algorithm (GA)-based dynamic excess bandwidth allocation algorithm is proposed in this paper. The algorithm is proposed and implemented in order to generate the optimum/near optimum solutions for the problem of excess bandwidth allocations over the converged scenario between hybrid PON and wireless technologies.
机译:光纤和无线集成方案利用光网络的高速和高容量,具有用户站(SSS)的无线对应物的低成本,宽覆盖和移动特征。它对电信服务提供商提供财务可行性,特别是在农村地区,其中光学基础设施或退出电信解决方案的扩展是太昂贵或无法访问的。为了成功整合两种技术,在架构方面,物理层特征和媒体访问控制(MAC)问题方面存在一些技术问题。本文主要集中在MAC相关的问题上,特别是混合无源光网络(混合PON)作为无线对应物的背荷方案的动态过剩带宽分配。本文提出了一种基于遗传算法(GA)动态过度带宽分配算法的数学模型。提出和实现算法,以便在混合PON和无线技术之间的融合方案上产生多余带宽分配问题的最佳/接近最佳解决方案。

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