Lossy utility based outage compensation in Next Generation Networks

M. Kibria, A. Jamalipour
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引用次数: 2

Abstract

Next generation networks (NGN) are envisaged to offer ubiquitous service access to roaming users across network boundaries. However, dynamic network conditions such as link failure, traffic congestion and so on prevailing in the network limits the provisioning of such uninterrupted service guarantee. Since the commercial viability of a network in a competitive market depends on the perceived user satisfaction, to atone for the service discontinuity (otherwise known as the outage loss) some form of compensation ought to be provided. Mathematical models arising from the game theory offer viable solutions for deducing a fair distribution of this compensation among different service types (i.e., flat rate based and volume based). In this paper, we propose a non-cooperative game theory based pricing mechanism that compensates the user by reducing the unit service charge across different subscription classes (i.e., economic, silver and gold). A lossy utility function is utilized to derive the highest amount of cost reduction that the network can accommodate. Governed by the Nash equilibrium points, the fair distribution of this cost reduction among different service types (as demonstrated by simulation results) forms the subject matter of this paper.
下一代网络中基于损耗效用的停电补偿
预计下一代网络(NGN)将为跨网络边界的漫游用户提供无处不在的业务接入。然而,网络中普遍存在的链路故障、流量拥塞等动态网络状况,限制了这种不间断业务保障的提供。由于网络在竞争激烈的市场中的商业可行性取决于感知到的用户满意度,因此应该提供某种形式的补偿来弥补服务中断(也称为中断损失)。由博弈论产生的数学模型提供了可行的解决方案,可以推导出这种补偿在不同服务类型之间的公平分配(即,基于统一费率和基于数量)。在本文中,我们提出了一种基于非合作博弈论的定价机制,通过降低不同订阅类别(即经济,白银和黄金)的单位服务费用来补偿用户。使用有损效用函数来推导网络可以容纳的最大成本降低量。在纳什均衡点的约束下,这种成本削减在不同服务类型之间的公平分配(如仿真结果所示)构成了本文的主题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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