Power Estimation in Mobile Communication Systems

Accurate power estimation has an important role for power control and handoff decisions in mobile communications. Window based weighed sample average power estimators are commonly used due to their simplicity. In practice, the performances of these estimators degrade severely when the estimators are...

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Bibliographic Details
Main Authors: Gopal, Lenin, Singh, Ashutosh, Shanmugam, Veeramani
Format: Journal Article
Published: Canadian Center of Science and Education 2008
Subjects:
Online Access:http://hdl.handle.net/20.500.11937/22825
Description
Summary:Accurate power estimation has an important role for power control and handoff decisions in mobile communications. Window based weighed sample average power estimators are commonly used due to their simplicity. In practice, the performances of these estimators degrade severely when the estimators are used in the presence of correlated samples. In this paper performances of the three local mean power estimators namely, sample average, optimum unbiased and maximum likelihood estimators, are analysed in the presence of correlated samples. The variance of the estimators is used as performance measures. Finally, the simulation results show that the performances of the optimum unbiased and maximum likelihood estimators are very good as compared to the performance of the sample average estimator.