Knowledge Expansion Algorithm of Heterogeneous Network Big Data Based on Improved K-means Algorithm

Yang Wang
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Abstract

In recent years, with the rapid progress of wireless communication technology and various intelligent terminal technologies, all kinds of business requirements have shown explosive growth. The high quality of service requirements of diversified services and large-scale network capacity problems have become major challenges that wireless networks will face. In order to meet the business needs of different users, rational NP is the most effective and economic method to improve the system capacity. However, how to achieve higher network throughput at a lower cost is a very important research topic. The main purpose of this paper is to study the knowledge expansion algorithm of heterogeneous network (HN) big data based on the improved K-means algorithm (IKA). This paper will focus on wireless network technology, NP and other related content. In addition, this paper will describe the relevant theories of big data technology for NP. This paper proposes a BS clustering scheme that can be applied to ultra-dense network scenarios. By using the proposed clustering algorithm, small cell BSIUDN can be effectively clustered, which greatly simplifies the network topology and facilitates the management of BS. At the same time, orthogonal time-frequency resource blocks are allocated within the cluster to reduce system interference to a certain extent. The simulation results show that the proposed KCA based on the improved WD can effectively cluster the small cell BS in the ultra-dense network.
基于改进K-means算法的异构网络大数据知识扩展算法
近年来,随着无线通信技术和各种智能终端技术的飞速发展,各种业务需求呈现爆发式增长。多样化业务的高质量服务要求和大规模网络容量问题已成为无线网络将面临的主要挑战。为了满足不同用户的业务需求,合理NP是提高系统容量最有效、最经济的方法。然而,如何以更低的成本实现更高的网络吞吐量是一个非常重要的研究课题。本文的主要目的是研究基于改进K-means算法(IKA)的异构网络(HN)大数据的知识扩展算法。本文将重点介绍无线网络技术、NP等相关内容。此外,本文将描述NP大数据技术的相关理论。本文提出了一种适用于超密集网络场景的BS聚类方案。采用本文提出的聚类算法,可以有效地对小小区BSIUDN进行聚类,大大简化了网络拓扑结构,方便了BS的管理。同时,在集群内分配正交时频资源块,在一定程度上减少系统干扰。仿真结果表明,基于改进WD的KCA可以有效地聚类超密集网络中的小小区BS。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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