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VTC
2008
IEEE

A Stochastic Model for Non-Stationary Outdoor K-Factor Variation

13 years 10 months ago
A Stochastic Model for Non-Stationary Outdoor K-Factor Variation
— A dense urban cellular environment contains many different locations where a line-of-sight or specular signal component from the base station is present. The small scale fading at these locations is best characterized using the Ricean distribution. However, the K-factor of that distribution will vary from one location to the next. This paper presents a statistical model for dense urban vehicular non-stationary Ricean fading where Kfactor changes gradually due to movement through changing surroundings. Using analysis of empirical radio channel measurements, a model is developed to represent K-factor variation as a stochastic process. An auto-regressive (AR) model is used to ensure the autocorrelation of the simulated K-factor process matches the empirical data. The model is verified by using it to simulate a non-stationary Ricean small scale fading envelope and comparing it to the fading envelope seen in the measurements.
Geoffrey G. Messier, Jennifer Hartwell
Added 01 Jun 2010
Updated 01 Jun 2010
Type Conference
Year 2008
Where VTC
Authors Geoffrey G. Messier, Jennifer Hartwell
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