Institute for Telecommunication Sciences
the research laboratory of the National Telecommunications and Information Administration

John E. Carroll; J. Randy Hoffman; Robert J. Matheson

Abstract: This report describes field measurements to characterize Land Mobile Radio (LMR) channel occupancy of Federal bands 162–174 megahertz (MHz) and 406–420 MHz at a single location overlooking the Denver, Colorado metropolitan area. This is part of the National Telecommunications and Information Administration effort to improve the spectrum efficiency of Federal radio usage. Measurements of the received radio traffic levels in these LMR frequency bands were performed over an 8-day period for the purpose of determining radio channel usage within the receiver spatial coverage of approximately 100-kilometer (km) radius for base stations, 50-km radius for mobile units, and 25-km radius for handheld units. The measurements were made using newly developed techniques that digitize as much as a 5-MHz segment of spectrum and process it to obtain simultaneous signal levels of up to 400 individual LMR channels. These techniques provided faster measurements, but also allowed enhanced post-processing of the data to remove effects of impulsive noise-like sources.

Keywords: spectrum efficiency; measurements; land mobile radio (LMR); channel usage; channel occupancy; Federal radio usage


To request a reprint of this report, contact:

Lilli Segre, Publications Officer
Institute for Telecommunication Sciences
(303) 497-3572
lsegre@ntia.doc.gov

For technical information concerning this report, contact:

John E. Carroll
Institute for Telecommunication Sciences
(303) 497-3367
jcarroll@ntia.doc.gov


Disclaimer: Certain commercial equipment, components, and software may be identified in this report to specify adequately the technical aspects of the reported results. In no case does such identification imply recommendation or endorsement by the National Telecommunications and Information Administration, nor does it imply that the equipment or software identified is necessarily the best available for the particular application or uses.

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