超图理论:在5G异构超密集网络中的应用
Hypergraph Theory: Applications in 5G Heterogeneous Ultra-Dense Networks
摘要:
异构超密集网络(HUDN)可以显著提高蜂窝网络的频谱效率,并满足第五代(5G)通信中数据流量的爆炸性增长。由于小型小区(SC)的密集部署,相邻小区之间的干扰变得严重。因此,有效的资源分配和用户关联算法对于最小化小区间干扰和优化网络性能至关重要。然而,由于资源分配和用户关联耦合,HUDN中的网络资源优化是非常复杂的。因此,HUDN需要低复杂度但有效的资源分配方案来解决这些问题。超图理论已被公认为是一个有用的数学工具来建模多个实体之间的复杂关系。在这篇文章中,我们将展示如何超图模型可以用来有效地解决资源分配问题的HUDN。我们还讨论了在这一领域的一些潜在的研究问题。
英文摘要:
Heterogeneous ultra-dense network (HUDN) can significantly increase the spectral efficiency of cellular networks and cater for the explosive growth of data traffic in the fifth-generation (5G) communications. Due to the dense deployment of small cells (SCs), interference among neighboring cells becomes severe. As a result, the effective resource allocation and user association algorithms are essential to minimize inter-cell interference and optimize network performance. However, optimizing network resources in HUDN is extremely complicated as resource allocation and user association are coupled. Therefore, HUDN requires low-complexity but effective resource allocation schemes to address these issues. Hypergraph theory has been recognized as a useful mathematical tool to model the complex relations among multiple entities. In this article, we show how the hypergraph models can be used to effectively tackle resource allocation problems in HUDN. We also discuss several potential research issues in this field.
机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。