Automatic Detection and Query of Wireless Spectrum Events from Streaming Data

TL;DR

This paper introduces Spectrum Streamer, a scalable, wireless technology-agnostic system that automatically detects and enables querying of spectrum events from streaming data for improved spectrum management.

Contribution

The paper presents a novel system that automatically detects spectrum events from streaming data and supports real-time querying and reporting, enhancing spectrum management capabilities.

Findings

System is wireless technology agnostic

Supports real-time event detection and querying

Enables actionable insights for spectrum management

Abstract

Several alternatives for more efficient spectrum management have been proposed over the last decade, resulting in new techniques for automatic wideband spectrum sensing. However, while spectrum sensing technology is important, understanding, using and taking actions on this data for better spectrum and network resource management is at least equally important. In this paper, we propose a system that is able to automatically detect wireless spectrum events from streaming spectrum sensing data, and enables the consumption of the events as they are produced, as a statistical report or on a per-query basis. The proposed system is referred to as spectrum streamer and is wireless technology agnostic, scalable, able to deliver actionable information to humans and machines and also enables application development by custom querying of the detected events.