Research Article
Empirical Modeling of Public Safety Voice Traffic in the Land Mobile Radio Band
@INPROCEEDINGS{10.4108/icst.crowncom.2012.248470, author={Tanim Taher and Roger Bacchus and Dennis Roberson and Kenneth Zdunek}, title={Empirical Modeling of Public Safety Voice Traffic in the Land Mobile Radio Band}, proceedings={7th International Conference on Cognitive Radio Oriented Wireless Networks}, publisher={IEEE}, proceedings_a={CROWNCOM}, year={2012}, month={7}, keywords={cognitive radio; dynamic spectrum access; voice traffic; land mobile radio; public safety radio}, doi={10.4108/icst.crowncom.2012.248470} }- Tanim Taher
Roger Bacchus
Dennis Roberson
Kenneth Zdunek
Year: 2012
Empirical Modeling of Public Safety Voice Traffic in the Land Mobile Radio Band
CROWNCOM
IEEE
DOI: 10.4108/icst.crowncom.2012.248470
Abstract
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 log-normal 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.