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Application of the conditional gradient method to a network resource allocation problem with several classes of users

机译:条件梯度法在几类用户网络资源分配问题中的应用

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We consider a general problem of optimal allocation of a limited resource in a telecommunication network. The users are divided into several different groups (or classes), which correspond to different levels of service. The network manager has to satisfy users requirements and maximize the network profit, which gives a convex optimization problem with balance and capacity constraints. We suggest to solve this problem with a two-level iterative method where the conditional gradient method is used at its upper level. Then we can solve the lower level problem with simple decomposition algorithms. The computational experiments show rather satisfactory convergence of the suggested method.
机译:我们考虑电信网络中有限资源的最佳分配的一般问题。将用户分为几个不同的组(或类),它们对应于不同的服务级别。网络管理员必须满足用户需求并最大程度地提高网络利润,这带来了具有平衡和容量约束的凸优化问题。我们建议使用两级迭代方法来解决此问题,其中在其上级使用条件梯度法。然后,我们可以使用简单的分解算法解决较低级别的问题。计算实验表明,该方法具有较好的收敛性。

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