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| Paper: | MLSP-P4.1 |
| Session: | Machine Learning Applications |
| Time: | Thursday, May 20, 09:30 - 11:30 |
| Presentation: |
Poster |
| Topic: |
Machine Learning for Signal Processing: Communications Applications |
| Title: |
DEMODULATION FOR WIRELESS ATM NETWORK USING MODIFIED SOM NETWORK |
| Authors: |
Jiang Li; University of Texas, Arlington | | |
| | Qilian Liang; University of Texas, Arlington | | |
| | Michael T. Manry; University of Texas, Arlington | | |
| Abstract: |
We study the demodulation problem in time division multiple access (TDMA) wireless asynchronous transfer mode (ATM) networks, where Rician flat fading channels are considered. A linear interpolation with decision feedback combined with a modified version of the self-organizing-map (LIDF-SOM) demodulator is proposed for such a system. We obtain the training sequence by exploiting medium access control (MAC) and data link control (DLC) protocols such that a semi-blind adaptive demodulator is implemented. Simulation results show that LIDF-SOM obtains 0.4-1.0 dB gain over Rician fading channels as compared to LIDF alone. |
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