第五代移动通信网络中的聚类研究

H. Serdar
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引用次数: 0

摘要

聚类程序被用来扩大系统的寿命和增加活力熟练度。本研究考察了5G通信系统中考虑的一些聚类算法和流量预期。有必要解释如何通过集群来改善客户体验的本质。理解客户端的需求是在智能框架中帮助各种情况的基础。客户机正念或客户机位置规划是集群中的一个挑战。有关的查询表明,在5G系统中使用集群计划存在困难,而通过有洞察力的系统确定安排创建的集群过程可能具有非凡的优势。目前的调查在具有广泛客户情况的独特框架中并不完美,因为它们在同构和低级异构系统中执行,并且无法工作。此外,当5G到来时,这个问题将比传统的重新安排更加令人难以置信。介绍并研究了在5G网络中执行聚类方法所面临的不同挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Clustering Research in Fifth Generation Mobile Communication Networks
Clustering procedures are utilized to broaden the life of systems and increment vitality proficiency. In this study, some clustering algorithms and traffic expectations consider in 5G communication systems are inspected. There is a need to explain how to improve the nature of client experience through clustering. Understanding the requirements of clients is basic to give the capacity to help various situations in smart frameworks. Client mindfulness or client situated plan is a challenge in clustering. Inquires about have demonstrated that the usage of clustering plans in 5G systems presents difficulties and that clustering procedures created with insightful system determination arrangements can be of extraordinary advantage. The present investigations are not perfect in unique frameworks with a wide assortment of client situations since they are performed in both homogeneous and low-level heterogeneous systems and can't work. Also, when the 5G happens, the issue will turn out to be more mind-boggling than customarily rearranged. Different challenges identified with the execution of clustering methods in 5G networks are introduced and examined.
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