Big Spectrum Data Analysis in DSA Enabled LTE-A Networks: A System Architecture

Term Big spectrum data refers to big data in the wireless domain, containing information about radio environment awareness. Radio environment awareness is essential for the process of regulating the use of radio frequencies, for social benefit. It is an important step towards the efficient and effective utilization of the spectrum, called spectrum management. Near real time big spectrum data analysis is crucial for effective spectrum management. In this paper, we present a system architecture for big spectrum data analysis in Dynamic Spectrum Access (DSA) enabled Long Term Evolution Advanced (LTE-A) networks. The proposed architecture is based on the open source Elasticsearch, Logstash and Kibana stack. The contributions of the paper also include the experimental setup to validate the proposed architecture. The experimental setup involves the generation of data sets of DSA enabled LTE-A networks, setup of the ELK stack for the spectrum analysis of LTE-A log data and sample visualizations of the spectral data analysis.