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Pricing strategies under heterogeneous service requirements

机译:异构服务需求下的定价策略

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摘要

This paper analyzes a communication network, used by customers with heterogeneous service requirements. We investigate priority queueing as a way to establish service differentiation. It is assumed that there is an infinite population of customers, who join the network as long as their utility (which is a function of the queueing delay) is larger than the price of the service. We focus on the specific situation with two types of users: one type is delay-sensitive ('voice'), whereas the other is delay-tolerant ('data'); these preferences are reflected in their utility curves. Two models are considered: in the first the network determines the priority class of the users, whereas the second model leaves this choice to the users. For both models we determine the prices that maximize the provider's profit. Importantly, these situations do not coincide. Our analysis uses elements from queueing theory, but also from microeconomics and game theory (e.g., the concept of a Nash equilibrium). We conclude the paper by considering a model in which throughput (rather than delay) is the main performance measure. Again the pricing strategy exploits the heterogeneity in service requirements and willingness-to-pay.
机译:本文分析了具有不同服务需求的客户使用的通信网络。我们调查优先级排队,以建立服务差异化。假定存在无限数量的客户,只要他们的效用(取决于排队延迟)大于服务的价格,他们就会加入网络。我们着眼于两种类型用户的特定情况:一种类型是延迟敏感型(“语音”),而另一种是延迟容忍型(“数据”);这些偏好反映在它们的效用曲线中。考虑两个模型:在第一个模型中,网络确定用户的优先级,而在第二个模型中,此选择留给用户。对于这两种模型,我们确定使提供者的利润最大化的价格。重要的是,这些情况并不重合。我们的分析使用排队论中的要素,也使用微观经济学和博弈论中的要素(例如纳什均衡的概念)。我们通过考虑其中吞吐量(而不是延迟)是主要性能指标的模型来结束本文。定价策略再次利用了服务需求和支付意愿的异质性。

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    Mandjes, M.R.H.;

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  • 年度 2003
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