PSCR 2020_ LMR Data Collection for Traffic Modeling

Published

October 29, 2020

Author(s)

Christopher D. Dennis, Yishen Sun

Abstract

The Land Mobile Radio (LMR) Data Collection Project creates a database of Public Safety (PS) LMR usage for traffic/call modeling. The generated models are used by telecom providers and PS entities for future technology deployments (e.g., LTE and 5G). This session presents the results from a recent Radio Frequency (RF) geolocation sensor system test deployment in Boulder, Colorado, as well as results from testing away from the Front Range. Current geolocation results, although the accuracy of which is yet to be improved further, are already useful in developing the modeling method. The spatial and temporal MCV call statistics/model derived from the geolocation data logs may be helpful for network planning, such as resource allocation and system deployment. The future of the project is for participant PS entities to provide P25 traffic and location data, in addition to sensor system deployments. Future deployments in other U.S. cities are in the planning phase.

Conference Dates

July 28-30, 2020

Conference Location

Boulder, CO

Conference Title

PSCR Stakeholder Meeting 2020: The Digital Experience

Pub Type

Conferences

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Keywords

radio frequency (RF), geolocation, traffic model, call model, LMR, P25, public safety

Citation

Dennis, C. and Sun, Y. (2020), PSCR 2020_ LMR Data Collection for Traffic Modeling, PSCR Stakeholder Meeting 2020: The Digital Experience, Boulder, CO, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=931281 (Accessed April 16, 2024)