Ls Telcom Ag · XETR:LSX
Ls Telcom — LS Summit 2013
15 slides from Ls Telcom's conference presentation, Jul 3, 2013
Slide 1: Automatic Radio Monitoring for Efficient Future Spectrum Management
Hochschule Offenburg University of Applied Sciences Automatic Radio Monitoring for Efficient Future Spectrum Management Christian Weber HS Offenburg July 3, 2013 LS Summit 2013 – Automatic Radio Monitoring
Slide 2: Outline
Hochschule Offenburg University of Applied Sciences Outline • Motivation • LS Observer system • Monitoring network and monitoring databases • Concept of an automatic radio monitoring process • Measurement results • Conclusion and forecast July 3, 2013 LS Summit 2013 – Automatic Radio Monitoring 2
Slide 3: Motivation: Why radio monitoring?
Hochschule Offenburg University of Applied Sciences Motivation Why radio monitoring? Spectrum Management • Phenomenal growth of radio communication • Radio spectrum becomes congested from: ITU – Spectrum Monitoring Efficient spectrum management is the key Handbook 2011 Radio monitoring is a tool
Slide 4: Motivation: Why radio monitoring?
Hochschule Offenburg University of Applied Sciences Motivation Why radio monitoring? • Predicted data • Reference database • Measurements: frequency AUTOMATIC occupancy, field strength, … DYNAMIC • Comparison to license database RADIO SPECTRUM • Eyes and ears of management MONITORING MANAGEMENT • Vi
Slide 5: ITU recommendations for automatic monitoring
Hochschule Offenburg University of Applied Sciences Motivation ITU recommendations for automatic monitoring • ITU-R SM.182-5 “Automatic monitoring of occupancy of the radio-frequency spectrum” • Equipment requirements and desirable parameters of the automatic monitoring record (e.g., noise level, si
Slide 6: LS Observer System
Hochschule Offenburg University of Applied Sciences LS Observer System M Remote Monitoring Units Monitoring Network Central Control Unit O N I Fixed Monitoring Unit T O R Portable Monitoring Unit I N Flying Monitoring Unit G Optional M A MONITORplus Analysis SPECTRAplus_db N Servers A and Tools G Li
Slide 7: Modern Radio Monitoring Network
Hochschule Offenburg University of Applied Sciences Modern Radio Monitoring Network Monitoring Network Central Unit Smart data transfer Reference database Geolocation Monitoring Management reference reports information database A-priori information Spectrum Management Databases Frequency Wireless Eq
Slide 8: Radio Monitoring Reference Database
Hochschule Offenburg University of Applied Sciences Radio Monitoring Reference Database Radio Monitoring related information • Topology and morphology of monitoring area • Transmitter database ITU BR-IFIC (global database) National regulator database • Frequency plans ITU BR-IFIC Multi-natio
Slide 9: Automatic Radio Monitoring: Equipment and ITU requirements
Hochschule Offenburg University of Applied Sciences Automatic Radio Monitoring Equipment and ITU requirements Equipment Radio Monitoring Unit Requirements ITU-R SM 182-5 • CPU • Name and location of RMU • Hard drives • Date and period of recording • GPS receiver • Frequency band Computational costs
Slide 10: Concept Automatic Radio Monitoring
Hochschule Offenburg University of Applied Sciences Concept Automatic Radio Monitoring Noise estimation Threshold definition Signal Noise level FCO Detection Field strength, bandwidth, center frequency FFT data Transmitters, Transmit power, services and signal bandwidth, Database designation of emis
Slide 11: Measurement Results: RMU Offenburg
Hochschule Offenburg University of Applied Sciences Measurement Results RMU Offenburg Specifications: • Omnidirectional antenna: SD 1300 (25 MHz – 1300 MHz) • Spectrum analyzer Agilent N6841A (10 MHz – 6 GHz) • Frequency range: UHF IV and UHF V • Reference database: Open BNetzA database BN
Slide 12: Measurement Results: Signal detection
Hochschule Offenburg University of Applied Sciences Measurement Results Signal detection Histogram of frequency bins Signal distributions Noise distribution • Novel method to estimate the noise distribution • Threshold definition based on a predefined false alarm probability July 3, 2013 LS Summit 2
Slide 13: Measurement Results: Signal detection and identification
Hochschule Offenburg University of Applied Sciences Measurement Results Signal detection and signal identification July 3, 2013 LS Summit 2013 – Automatic Radio Monitoring 13
Slide 14: Conclusion and Forecast
Hochschule Offenburg University of Applied Sciences Conclusion and Forecast Conclusion • Automatic radio monitoring is essential for a dynamic spectrum management • Importance of an monitoring reference database • Database comparison over a wide frequency range with low computational costs is possib
Slide 15: Thank you for listening
Hochschule Offenburg University of Applied Sciences Thank you for listening July 3, 2013 LS Summit 2013 – Automatic Radio Monitoring 15