Name
Abstract | ||
|---|---|---|
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 K-factor 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. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/VETECF.2008.33 | 68TH IEEE VEHICULAR TECHNOLOGY CONFERENCE, FALL 2008 |
Keywords | Field | DocType |
wireless communication,correlation,base station,fading,auto regressive,ar model,stochastic process,statistical model,probability density function,stochastic model,autocorrelation,estimation | Fading,Computer science,Stochastic process,Electronic engineering,Stochastic modelling,Statistical model,Fading distribution,Log-distance path loss model,Probability density function,Autocorrelation | Conference |
ISSN | Citations | PageRank |
1550-2252 | 0 | 0.34 |
References | Authors | |
5 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Geoffrey G. Messier | 1 | 231 | 22.19 |
| Jennifer Hartwell | 2 | 0 | 0.34 |