Power Estimation in Mobile Communication Systems
Access Status
Authors
Date
2008Type
Metadata
Show full item recordCitation
Source Title
ISSN
School
Collection
Abstract
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.
Related items
Showing items related by title, author, creator and subject.
-
Sithole, Moses M. (1997)This thesis is mainly concerned with the estimation of parameters in autoregressive models with censored data. For convenience, attention is restricted to the first-order stationary autoregressive (AR(1)) model in which ...
-
Coenen, Pieter; Mathiassen, S.; Kingma, I.; Boot, C.; Bongers, P.; Van Dieën, J. (2015)Objectives: Exposure–outcome studies, for instance on work-related low-back pain (LBP), often classify workers into groups for which exposures are estimated from measurements on a sample of workers within or outside the ...
-
Trott, Cathryn (2015)In this brief note I compare different proposed SKA1-LOW array layouts for the task of performing an Epoch of Reionisation (EoR) power spectrum analysis, in the context of the ability of the data to estimate ionospheric ...