基于大数据分析的频谱资源管控系统设计

针对电磁环境恶化，频谱资源匮乏、分配不均及其在空间、时间和频域上存在的高度相关性的问题，文中提出了一种基于大数据分析的频谱资源管控系统。该系统由频谱监测与存储、数据分析处理和管控中心3个功能模块组成。首先，采用分布式的数据采集架构采集频谱信息和GPS信息；然后，使用大数据分析技术预测下一次时刻频谱资源的使用情况，以合理的检测可用信道、提高频谱监测的效率，优化频谱监测的策略；最后，使用管控中心管理不同等级用户的频谱使用权限。仿真测试结果表明，该系统能有效地处理海量的频谱数据、提高频谱资源的利用率。

Design of Spectrum Resource Management and Control System Based on Big Data Analysis

In view of the lack of spectrum resources, the deterioration of the electromagnetic environment, the uneven distribution and the high degree of correlation in space, time and frequency domain, a spectrum resource management and control system based on big data analysis is proposed. The system consists of spectrum monitoring and storage, data analysis and management and control center composed of three functional modules. Firstly, the distributed data acquisition framework is used to collect spectrum information and GPS information. Then, the use of big data analysis technology to predict the next time the use of spectrum resources to detect available channels to improve the efficiency of spectrum monitoring and optimize the spectrum monitoring strategy; finally, use the control center to manage spectrum usage rights of different levels of users. The simulation results show that the system can effectively deal with the massive spectrum data and improve the utilization of spectrum resources.