In this work we investigate the bounds on the estimation accuracy of Primary User (PU) traffic parameters with exponentially distributed busy and idle times. We derive closed-form expressions for the Crame´r-Rao bounds on the mean squared estimation error for the blind joint estimation of the PU traffic parameters, specifically, the duty cycle, and the mean arrival and departure rates. Moreover, we present the corresponding maximum-likelihood estimators for the traffic parameters and discuss the effect of sensing errors in the joint estimation of PU traffic.
Blind estimation of primary user traffic parameters under sensing errors
01.06.2013
369088 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Macroscopic Traffic State Estimation: Understanding Traffic Sensing Data-Based Estimation Errors
DOAJ | 2017
|Wearable blind person outdoor traffic information sensing equipment
Europäisches Patentamt | 2020
|Sparse perception traffic scene blind area information interpolation estimation method
Europäisches Patentamt | 2024
|