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Cognitive WMNs: A distributed mechanism for leasing cellular bandwidth

机译:认知WMN:一种用于租赁蜂窝带宽的分布式机制

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We study flow optimization in cognitive Wireless Mesh Networks (WMN) that lease bandwidth from a collocated cellular network (CN). We develop a distributed mechanism that such WMNs can use to optimize their traffic given their own utilities and costs and the costs that the CN is charging for the use of its channels. We evaluate the mechanism in a synthetic scenario using the topology of a deployed WMN and time-varying traffic requirements induced from real-life vehicle mobility traces. Simulations show that the mechanism can track well the changes in the problem parameters, continuously keeping close to the optimum operation point.
机译:我们研究了认知无线网状网络(WMN)中的流量优化,该网络(WMN)从并置蜂窝网络(CN)租用带宽。 我们开发了一种分布式机制,即在鉴于自己的公用事业和成本以及CN为使用频道的费用以及CN为使用频道充电的成本,可以使用这些WMNS来优化流量。 我们使用从部署的WMN拓扑和现实寿命车辆移动性迹线引起的拓扑结构评估合成情景中的机制。 模拟表明,该机制可以追踪问题参数的变化,连续保持接近最佳操作点。

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