Empirical Modeling of Public Safety to Voice Traffic to Aid Emergency Capacity Taher, Tanim Bacchus, Roger Dynamic spectrum access public safety radio measurements RF USRP model traffic capacity time series stationarity MongoDB database FCC NSF blizzard snowstorm An RF measurement system with high time resolution is implemented to determine the statistical characteristics of various channels in the Land Mobile Radio bands. The applicability of simple statistical models to the observed data is investigated, as well as their validity over short and long periods of time. The results show that the statistics of the idle and holding times of communication on these channels vary significantly over time and demonstrate daily periodicity, requiring non-stationary models to accurately represent them. Over short durations of time however, conventional distributions such as the exponential and lognormal may adequately characterize the properties of these quantities, allowing convenient and compact representations of the data. Results based on empirical data are presented to quantify the probability of stationarity for voice traffic within a time span of given length. The findings are useful for network planning or streamlining, network simulation and modeling, and investigation of dynamic spectrum access. Sponsorship: National Science Foundation, Federal Communications Commission, Motorola, Cleversafe, Roberson & Associates LLC Roberson, Dennis Zdunek, Dennis Engel, Jeffrey Wernick, Miles 2012-04-18 2012-04-18 Mixed material printed matter application/pdf islandora:16497 http://hdl.handle.net/10560/islandora:16497 en Attribution 3.0 United States http://creativecommons.org/licenses/by/3.0/us/ In Copyright http://rightsstatements.org/page/InC/1.0/ Open Access