基于大数据技术的5G网络容量自适应算法

5G Network Capacity Adaptive Algorithm Based on Big Data Technology

5G网络为人们提供了更加快捷的网络环境,其容量自适应效果对5G网络的进一步发展具有重要作用,因此研究基于大数据技术的5G网络容量自适应算法。首先,提取5G网络容量自适应时空特征数据,分析网络离散周期特性;其次,基于大数据技术处理网络容量空间数据,增强网络空间数据的相关性;再次,构建5G网络自适应信道模型,提高网络对数据的适应性;最后,优化网络容量自适应函数,提高网络吞吐量,进而实现5G网络容量的弹性建设。实验结果表明,该算法的网络吞吐量更高,自适应效果更佳,具有较高的推广价值。

5G network provides people with a faster network environment,and its capacity adaptation effect plays an important role in the further development of 5G network.Therefore,5G network capacity adaptation algorithm based on big data technology is studied.Firstly,extract 5G network capacity adaptive spatio-temporal characteristic data,and analyze the discrete periodic characteristics of the network.Secondly,processing network capacity spatial data based on big data technology to enhance the relevance of network spatial data.Thirdly,build an adaptive channel model of 5g network to improve the adaptability of the network to data.Finally,optimize the adaptive function of network capacity,improve the network throughput,and then realize the elastic construction of 5G network capacity.Experimental results show that the algorithm has higher network throughput and better adaptive effect,and has high popularization value.