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An iteration resource allocation method to maximize number of users with QoS demand in femtocell networks

机译:一种迭代资源分配方法,可以在毫微微小区网络中最大化QoS需求的用户数

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Femtocells tend to be large scale and self-organized, which complicates the interference environment of mobile networks. In this case, interference between femtocells cannot be ignored, casing the restriction of the usage of wireless resources. Meanwhile, traffic classes are booming in recent years, and it is very likely that different traffic types with different QoS demand contend with resources at the same time. It is a massive challenge to guarantee the QoS demand of users in interference limited femtocell networks. In this paper, we propose an iterative method (IMMQ) to maximize the number of users with QoS demand as well as maximizing resource reuse ratio to boost spectrum utility with interference constraints. We first model the above resource allocation problem in an optimization problem form. Normally, it is computer prohibitive, and hence we propose an approximate computer tractable scheme and design an iterative method to approach it. Simulation results show the effectiveness of our proposed method compared with other state-of-the-art schemes.
机译:Femtocells往往是大规模和自组织,这使得移动网络的干扰环境复杂化。在这种情况下,不能忽略毫微微小区之间的干扰,壳体限制无线资源的使用。与此同时,交通课程近年来正在蓬勃发展,很可能与不同QoS的不同交通类型同时与资源相反。保证干扰有限毫微微小区网络中用户的QoS需求是一种巨大的挑战。在本文中,我们提出了一种迭代方法(IMMQ),以最大化具有QoS需求的用户数量以及最大化资源重用比率,以通过干扰约束提高频谱实用程序。我们首先在优化问题形式中模拟上述资源分配问题。通常,它是计算机禁止的,因此我们提出了一种近似的计算机贸易方案和设计迭代方法来接近它。仿真结果表明,与其他最先进的计划相比,我们提出的方法的有效性。

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