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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-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.

Identiferoai:union.ndltd.org:unt.edu/info:ark/67531/metadc84303
Date08 1900
CreatorsWunnava, Sashi Prabha
ContributorsGuturu, Parthasarathy, Namuduri, Kamesh, Buckles, Bill P., 1942-
PublisherUniversity of North Texas
Source SetsUniversity of North Texas
LanguageEnglish
Detected LanguageEnglish
TypeThesis or Dissertation
FormatText
RightsPublic, Wunnava, Sashi Prabha, Copyright, Copyright is held by the author, unless otherwise noted. All rights reserved.

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