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Multiple-Layer Network Planning with Scenario-Based Traffic Forecast

机译：基于场景的流量预测的多层网络规划

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摘要

One of the major tendencies in network planning is to take the interactions of multiple network layers into consideration, so that solutions much better than those restricted in single layers can be achieved. This also applies when planning for the extension of the network infrastructure to meet the increment of traffic in the future, in which minimizing the capital expenditure of new devices and the corresponding energy consumptions are among the greatest concerns of network operators. However, the planning relies on the forecast of future traffic demands, where some degree of uncertainty must be counted as a part. A special forecast mechanism currently used by some network operators is to make a series of forecasts, each being a scenario which describes a possible future situation. In this paper, we will introduce this mechanism, analyze its differences to other traffic uncertainty models, and suggest the corresponding planning methods based on the Integer Linear Programming (ILP) models. The performances are shown in the tests at a scale of real problems.
机译：网络规划的主要趋势之一是考虑多个网络层的交互作用，从而可以实现比限于单个层的解决方案更好的解决方案。这在规划网络基础架构的扩展以满足未来流量的增加时也适用，在这种情况下，使新设备的资本支出和相应的能耗最小化是网络运营商最关注的问题。但是，规划依赖于对未来交通需求的预测，其中必须将一定程度的不确定性作为一部分。一些网络运营商当前使用的一种特殊的预测机制是进行一系列预测，每种预测都是描述未来可能情况的方案。在本文中，我们将介绍这种机制，分析其与其他交通不确定性模型的区别，并根据整数线性规划（ILP）模型提出相应的规划方法。性能在测试中以实际问题的规模显示。

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