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首页> 外文期刊>IEEE Journal on Selected Areas in Communications >Joint Caching, Routing, and Channel Assignment for Collaborative Small-Cell Cellular Networks
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Joint Caching, Routing, and Channel Assignment for Collaborative Small-Cell Cellular Networks

机译:协作式小蜂窝蜂窝网络的联合缓存,路由和信道分配

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We consider joint caching, routing, and channel assignment for video delivery over coordinated small-cell cellular systems of the future Internet. We formulate the problem of maximizing the throughput of the system as a linear program, in which the number of variables is very large. To address channel interference, our formulation incorporates the conflict graph that arises when wireless links interfere with each other due to simultaneous transmission. We utilize the column generation method to solve the problem by breaking it into a restricted master subproblem that involves a select subset of variables and a collection of pricing subproblems that select the new variable to be introduced into the restricted master problem, if that leads to a better objective function value. To control the complexity of the column generation optimization further, due to the exponential number of independent sets that arise from the conflict graph, we introduce an approximation algorithm that computes a solution that is within to optimality, at much lower complexity. Our framework demonstrates considerable gains in average transmission rate at which the video data can be delivered to the users, over the state-of-the-art Femtocaching system, of up to 46%. These operational gains in system performance map to analogous gains in video application quality, thereby enhancing the user experience considerably.
机译:我们考虑联合缓存,路由和频道分配,以在未来Internet的协调小蜂窝蜂窝系统上进行视频传递。我们将最大化系统吞吐量的问题表述为一个线性程序,其中变量的数量非常大。为了解决信道干扰,我们的公式包含了冲突图,该冲突图在无线链接由于同时传输而相互干扰时出现。我们利用列生成方法将问题分解为一个受限的主子问题,该问题涉及一个选择的变量子集,以及一个定价子问题的集合,这些问题选择了要引入受限主问题的新变量,从而解决了该问题。更好的目标函数值。为了进一步控制列生成优化的复杂度,由于冲突图产生的独立集的指数数量,我们引入了一种近似算法,该算法以较低的复杂度计算出处于最佳状态的解决方案。我们的框架证明,通过最先进的Femtocaching系统,视频数据可以以平均传输速率显着提高,最高可以达到46%。系统性能的这些可操作增益可映射到视频应用程序质量的类似增益,从而大大增强了用户体验。

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