Loading...
Please wait, while we are loading the content...
DSRC channel fading analysis from empirical measurement (2006)
| Content Provider | CiteSeerX |
|---|---|
| Author | Yin, Jijun Holland, Gavin Elbatt, Tamer Bai, Fan Krishnan, Hariharan |
| Description | Vehicle-to-vehicle communication research has gained tremendous interest in recent years due to its importance in facilitating future active safety and telematics applications. However, with limited literature available, there is lack of understanding for modeling mobile-to-mobile channels in vehicular environments. In this paper, we conduct preliminary channel fading statistical analysis of empirical measurement data from devices compatible with the emerging Dedicated Short Range Communications (DSRC) standard. In particular, we use the Nakagami distribution to analyze the received signal strength (i.e., RSSI) from empirical measurement, and characterize the fading statistics as a function of distance for vehicular operating environment. Our analysis reveals that fading can be approximated by Rician distribution within 100m while it seems to follow Rayleigh distribution beyond 100m. The outcome of the study could be used for vehicular network simulation. |
| File Format | |
| Language | English |
| Publisher Date | 2006-01-01 |
| Publisher Institution | IN PROCEEDINGS OF THE 1ST IEEE INTERNATIONAL WORKSHOP ON VEHICLE COMMUNICATIONS AND APPLICATIONS (VEHICLECOMM)O |
| Access Restriction | Open |
| Subject Keyword | Limited Literature Rician Distribution Future Active Safety Vehicular Network Simulation Analysis Reveals Statistical Analysis Dsrc Channel Dedicated Short Range Communication Empirical Measurement Nakagami Distribution Mobile-to-mobile Channel Empirical Measurement Data Rayleigh Distribution Tremendous Interest Vehicle-to-vehicle Communication Research Vehicular Operating Environment Received Signal Strength Recent Year Preliminary Channel Vehicular Environment Fading Statistic Telematics Application |
| Content Type | Text |
| Resource Type | Article |