Automated Spectrum Sensing and Analysis Framework
Rahil Gandotra, Ruoyu Sun, Mark Poletti, Jiayu Mao, Hao Guo

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…
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Taxonomy
TopicsCognitive Radio Networks and Spectrum Sensing · Indoor and Outdoor Localization Technologies · Sparse and Compressive Sensing Techniques
