Automated Spectrum Sensing and Analysis Framework

TL;DR

This paper introduces a comprehensive, multi-location spectrum analysis framework that enables real-time, large-scale spectrum monitoring and management to improve regulatory compliance and spectrum utilization.

Contribution

It presents a novel, end-to-end spectrum sensing and analysis pipeline deployed across multiple sites, integrating data collection, transfer, processing, and visualization.

Findings

Effective real-time spectrum analysis at multiple locations

Enhanced insights into spectrum usage patterns

Supports dynamic spectrum sharing initiatives

Abstract

Spectrum sensing and analysis is crucial for a variety of reasons, including regulatory compliance, interference detection and mitigation, and spectrum resource planning and optimization. Effective, real-time spectrum analysis remains a challenge, stemming from the need to analyse an increasingly complex and dynamic environment with limited resources. The vast amount of data generated from sensing the spectrum at multiple sites requires sophisticated data analysis and processing techniques, which can be technically demanding and expensive. This paper presents a novel, holistic framework developed and deployed at multiple locations across the USA for spectrum analysis and describes the different parts of the end-to-end pipeline. The details of each of the modules of the pipeline, data collection and pre-processing at remote locations, transfer to a centralized location, post-processing analysis, visualization, and long-term storage, are reported. The motivation behind this work is to develop a robust spectrum analysis framework that can help gain greater insights into the spectrum usage across the country and augment additional use cases such as dynamic spectrum sharing.