Intelligent interleaver for PAPR reduction

In orthogonal frequency division multiplexing (OFDM) systems, one of the major problems to be tackled is high peak to average power ratio (PAPR). In this paper a PAPR reduction scheme for OFDM system is proposed that takes the advantage of the classification capability of learning vector quantizatio...

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Hauptverfasser: Khalid, S., Zaka, I., Tasneem, K.T., Shah, S.I., Ahmed, J.
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Shah, S.I.
Ahmed, J.
description In orthogonal frequency division multiplexing (OFDM) systems, one of the major problems to be tackled is high peak to average power ratio (PAPR). In this paper a PAPR reduction scheme for OFDM system is proposed that takes the advantage of the classification capability of learning vector quantization (LVQ) networks. The symbols are distributed in different classes and interleaved by a different interleaver, to achieve minimum PAPR before they are transmitted. A tremendous reduction in number of computations is achieved to get the required reduction in PAPR values.
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subjects Binary phase shift keying
Computer architecture
Fading
Learning vector quantization
Neurons
OFDM
Orthogonal frequency division multiplexing
Peak to average power ratio
Peak to average ratio
Power engineering and energy
Prototypes
Robustness
Vector quantization
title Intelligent interleaver for PAPR reduction
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