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...
| Main Authors: | , , |
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| Format: | Journal Article |
| Published: |
Canadian Center of Science and Education
2008
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| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.11937/22825 |
| _version_ | 1848750979994877952 |
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| author | Gopal, Lenin Singh, Ashutosh Shanmugam, Veeramani |
| author_facet | Gopal, Lenin Singh, Ashutosh Shanmugam, Veeramani |
| author_sort | Gopal, Lenin |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T07:45:26Z |
| format | Journal Article |
| id | curtin-20.500.11937-22825 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T07:45:26Z |
| publishDate | 2008 |
| publisher | Canadian Center of Science and Education |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-228252017-01-30T12:33:48Z Power Estimation in Mobile Communication Systems Gopal, Lenin Singh, Ashutosh Shanmugam, Veeramani mobile communications local mean power Power estimation Rayleigh fading 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. 2008 Journal Article http://hdl.handle.net/20.500.11937/22825 Canadian Center of Science and Education fulltext |
| spellingShingle | mobile communications local mean power Power estimation Rayleigh fading Gopal, Lenin Singh, Ashutosh Shanmugam, Veeramani Power Estimation in Mobile Communication Systems |
| title | Power Estimation in Mobile Communication Systems |
| title_full | Power Estimation in Mobile Communication Systems |
| title_fullStr | Power Estimation in Mobile Communication Systems |
| title_full_unstemmed | Power Estimation in Mobile Communication Systems |
| title_short | Power Estimation in Mobile Communication Systems |
| title_sort | power estimation in mobile communication systems |
| topic | mobile communications local mean power Power estimation Rayleigh fading |
| url | http://hdl.handle.net/20.500.11937/22825 |