摘要
为解决传统无线通信频谱资源分配系统存在认知能力、重构能力、决策能力较差的问题,设计一种基于大数据的无线通信频谱资源分批协作分配系统。对系统的硬件结构进行改进,依据系统硬件的整体架构,设计了局部传感器、频谱资源信号调理单元、数据采集单元、系统主机等主要组成部分,采用高频电流传感器实现频谱资源的转换,利用信号调理单元对传感器采集到的频谱资源信号进行放大、消噪等处理。在改进硬件的基础上,结合大数据技术对系统软件功能进行优化,设计了采集模块、无线通信频谱资源分析模块、分配模块和数据库存储模块,实现对频谱资源数据的分批协作分配。采用与传统方法对比的形式进行实验,结果表明,改进系统的认知能力、重构能力、决策能力得到了较大的提升,该系统在无线电技术领域具有非常广阔的应用前景和价值。
In order to solve the problems of poor cognitive ability,reconstruction ability and decision-making ability in the traditional wireless communication spectrum resource allocation system,a new spectrum resource batch cooperative allocation system based on big data is designed. In this scheme,the system′ s hardware structure is improved first,and then on the basis of the overall architecture of the system hardware,the local sensor,spectrum signal conditioning unit,data acquisition unit,system host and other major components are designed. The conversion of spectrum resources is realized by high-frequency current sensor. The spectrum resource signals collected by sensors are amplified and denoised by means of the signal conditioning unit. On the basis of hardware improvement,the functions of the system software is optimized in combination with big data technology,and the acquisition module,wireless communication spectrum resource analysis module,allocation module and database storage module are designed to realize the cooperative allocation of spectrum resource data in batches. A contrast experiment was carried out in comparison with the traditional method. The results show that the cognitive ability,reconstruction ability and decision-making ability of the improved system have been greatly improved,and the system has a very broad application prospect and value in the field of radio technology.
作者
杨世康
王长清
白维维
YANG Shikang;WANG Changqing;BAI Weiwei(School of Big Data Engineering,Kaili University,Kaili 556011,China)
出处
《现代电子技术》
北大核心
2020年第17期20-24,共5页
Modern Electronics Technique
基金
贵州省教育厅青年科技人才成长项目(黔教合KY字[2018]355)。
关键词
无线通信
频谱资源分配
分批协作
大数据技术
信号放大
消噪处理
wireless communication
spectrum resource allocation
batch collaboration
big data technology
signal amplification
noise processing