Research Of The Radio Spectrum Usage Assessment Based On Cloud Computing

With the high-speed development of social information and the wide application of radio communication technology in the society and life,low spectrum utilization rate and the waste of spectrum resources caused by traditional licensed spectrum ways has attracted the attention of radio management departments in all countries.How to improve the shortcoming in radio spectrum usage assessment data processing and analysis,such as the low efficiency of data processing,poor security of data transmission and the volatility of data has become the problem that should be addressed the most in current radio spectrum usage assessment special activities.Based on the storage,process and analysis modes of the traditional spectrum usage assessment data,this dissertation optimizes the storage modes of radio spectrum usage assessment data collected in special activities by using HDFS file system and HBase distributed storage system,so as to analyze and process by means of cloud computing platform;In terms of the processing and analysis of radio spectrum data,cloud computing and big data technology are combined to further improve the safety,convenience and timeliness of the radio spectrum usage assessment data processing and analysis,which basically remove the drawbacks of processing and analysis modes of traditional spectrum usage assessment data;Then,it slightly improves based on the front page of traditional spectrum usage assessment data processing and analysis platform,uses JQuery and Html build a platform that can quickly process and display data processing and analysis results in special activities of spectrum usage assessment.Through the system,the spectrum data collected by the staffs in the monitoring process can be processed and analyzed in a timely,effective and fast manner,and the required analysis results can be clearly displayed,which can greatly improve the radio management work efficiency,and provide a new idea for the further innovation of radio management and service applications.