Research on Cloud Technologies of 5G Resources based on Small Data

CHEN Liang

doi:10.13756/j.gtxyj.2017.06.013

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Research on Cloud Technologies of 5G Resources based on Small Data

- Research on Cloud Technologies of 5G Resources based on Small Data
- Study on Optical communication Issue 6, Pages: 71-75(2017)
- 作者机构：
  
  武汉邮电科学研究院光纤通信技术和网络国家重点实验室
- 作者简介：
- 基金信息：
- DOI：10.13756/j.gtxyj.2017.06.013
  CLC： TN929.5
- Published：2017，
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[1]陈亮.基于小数据的5G资源云化技术的研究[J].光通信研究,2017(06):71-75.

CHEN Liang. Research on Cloud Technologies of 5G Resources based on Small Data. [J]. (6):71-75(2017)
[1]陈亮.基于小数据的5G资源云化技术的研究[J].光通信研究,2017(06):71-75. DOI： 10.13756/j.gtxyj.2017.06.013.

CHEN Liang. Research on Cloud Technologies of 5G Resources based on Small Data. [J]. (6):71-75(2017) DOI： 10.13756/j.gtxyj.2017.06.013.

摘要

在"人-网-物"三元互联时代

小数据业务在时域、频域和功率域三个方面不断占用着无线网络中大量不可再生的资源。文章在总结分析小数据的特征后

在时域方面

提出了一种利用"子制式载波"技术共享现有落后网络制式的方法

在同一频点的不同时间上

让小数据和这些落后的制式共同工作;在频域方面

提出了现有几种频带共享方案的一些问题;在功率域方面

指出了一个空闲能量因子

将因子和已知的选择算法相结合

使剩余功率也能成为网络资源优化选择的重要因素。

Abstract

In the era of interconnected by human-network-things

large amount of small data services occupy many non-renewable resources of wireless network in time

frequency and power domains.The paper proposed a "sub System-Carrier" technology sharing existing backward network system methods in time domain.At different times of the same frequency point

small data and backward systems can work together.In frequency domain

we propose bandwidth sharing method to solve the existing problems.In power domain

we propose an idle power factor

which combining the factor with the known selection algorithm.The remaining power can also be an important factor in the optimization of network resource selection.

关键词

小数据时域云化频域云化功率域云化物联网

Keywords

small datatime domain cloudfrequency domain cloudpower domain cloudInternet of things

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