A Framework for Analyzing Spectrum Characteristics in Large Spatio-temporal Scales

Yijing Zeng, Varun Chandrasekaran, Suman Banerjee, Domenico Giustiniano

Research output: Contribution to conferencePaperpeer-review

Abstract

Understanding spectrum characteristics with little prior knowledge requires fine-grained spectrum data in the frequency, spatial, and temporal domains; gathering such a diverse set of measurements results in a large data volume. Analysis of the resulting dataset poses unique challenges; methods in the status quo are tailored for specific spectrum-related applications (apps), and are ill equipped to process data of this magnitude. In this paper, we design BigSpec, a generalpurpose framework that allows for fast processing of apps. The key idea is to reduce computation costs by performing computation extensively on compressed data that preserves signal features. Adhering to this guideline, we build solutions for three apps, i.e., energy detection, spatio-temporal spectrum estimation, and anomaly detection. These apps were chosen to highlight BigSpec's efficiency, scalability, and extensibility. To evaluate BigSpec's performance, we collect more than 1 terabyte of spectrum data spanning a year, across 300MHz-4GHz, covering 400 km2. Compared with baselines and prior works, we achieve 17× run time efficiency, sublinear rather than linear run time scalability, and extend the definition of anomaly to different domains (frequency & spatio-temporal). We also obtain high-level insights from the data to provide valuable advice on future spectrum measurement and data analysis.

Original languageEnglish (US)
DOIs
StatePublished - 2019
Externally publishedYes
Event25th Annual International Conference on Mobile Computing and Networking, MobiCom 2019 - Los Cabos, Mexico
Duration: Oct 21 2019Oct 25 2019

Conference

Conference25th Annual International Conference on Mobile Computing and Networking, MobiCom 2019
Country/TerritoryMexico
CityLos Cabos
Period10/21/1910/25/19

Keywords

  • Spatio-temporal data analysis
  • Spectrum measurement

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Hardware and Architecture
  • Software

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