Kalman Filtering Approach to Optimize OFDM Data Rate
This study is based on applying a non-linear mapping method, here the unscented Kalman filter; to estimate and optimize data rate resulting from the arrival rate having a Poisson distribution in an orthogonal frequency division multiplexing (OFDM) transmission system. OFDM is an emerging multi-carri...
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2011
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ndltd-unt.edu-info-ark-67531-metadc843032020-07-15T07:09:31Z Kalman Filtering Approach to Optimize OFDM Data Rate Wunnava, Sashi Prabha Kalman filter data rate OFDM This study is based on applying a non-linear mapping method, here the unscented Kalman filter; to estimate and optimize data rate resulting from the arrival rate having a Poisson distribution in an orthogonal frequency division multiplexing (OFDM) transmission system. OFDM is an emerging multi-carrier modulation scheme. With the growing need for quality of service in wireless communications, it is highly necessary to optimize resources in such a way that the overall performance of the system models should rise while keeping in mind the objective to achieve high data rate and efficient spectral methods in the near future. In this study, the results from the OFDM-TDMA transmission system have been used to apply cross-layer optimization between layers so as to treat different resources between layers simultaneously. The main controller manages the transmission of data between layers using the multicarrier modulation techniques. The unscented Kalman filter is used here to perform nonlinear mapping by estimating and optimizing the data rate, which result from the arrival rate having a Poisson distribution. University of North Texas Guturu, Parthasarathy Namuduri, Kamesh Buckles, Bill P., 1942- 2011-08 Thesis or Dissertation Text https://digital.library.unt.edu/ark:/67531/metadc84303/ ark: ark:/67531/metadc84303 English Public Wunnava, Sashi Prabha Copyright Copyright is held by the author, unless otherwise noted. All rights reserved. |
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Kalman filter data rate OFDM |
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Kalman filter data rate OFDM Wunnava, Sashi Prabha Kalman Filtering Approach to Optimize OFDM Data Rate |
description |
This study is based on applying a non-linear mapping method, here the unscented Kalman filter; to estimate and optimize data rate resulting from the arrival rate having a Poisson distribution in an orthogonal frequency division multiplexing (OFDM) transmission system. OFDM is an emerging multi-carrier modulation scheme. With the growing need for quality of service in wireless communications, it is highly necessary to optimize resources in such a way that the overall performance of the system models should rise while keeping in mind the objective to achieve high data rate and efficient spectral methods in the near future. In this study, the results from the OFDM-TDMA transmission system have been used to apply cross-layer optimization between layers so as to treat different resources between layers simultaneously. The main controller manages the transmission of data between layers using the multicarrier modulation techniques. The unscented Kalman filter is used here to perform nonlinear mapping by estimating and optimizing the data rate, which result from the arrival rate having a Poisson distribution. |
author2 |
Guturu, Parthasarathy |
author_facet |
Guturu, Parthasarathy Wunnava, Sashi Prabha |
author |
Wunnava, Sashi Prabha |
author_sort |
Wunnava, Sashi Prabha |
title |
Kalman Filtering Approach to Optimize OFDM Data Rate |
title_short |
Kalman Filtering Approach to Optimize OFDM Data Rate |
title_full |
Kalman Filtering Approach to Optimize OFDM Data Rate |
title_fullStr |
Kalman Filtering Approach to Optimize OFDM Data Rate |
title_full_unstemmed |
Kalman Filtering Approach to Optimize OFDM Data Rate |
title_sort |
kalman filtering approach to optimize ofdm data rate |
publisher |
University of North Texas |
publishDate |
2011 |
url |
https://digital.library.unt.edu/ark:/67531/metadc84303/ |
work_keys_str_mv |
AT wunnavasashiprabha kalmanfilteringapproachtooptimizeofdmdatarate |
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1719329123679076352 |