2015 First International Conference on New Technologies of Information and Communication (NTIC) 2015
DOI: 10.1109/ntic.2015.7368744
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A PAPR reduction for STBC MIMO-OFDM systems in 4G wireless communications using PTS scheme

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Cited by 3 publications
(2 citation statements)
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“…It uses the PTS scheme for PAPR reduction technique well as increasing the number of weighting factor and clusters this new PTS system with the simultaneous calculations is that each bunch is partitioned into 2 sections and these two sections utilize the diverse weighting factors having some connection between them. The main feature of this technique is by using same size of side information PAPR performance can be improved [8].…”
Section: Papr Reduction Scheme Using Precoding Evolutionary Adaptatiomentioning
confidence: 99%
“…It uses the PTS scheme for PAPR reduction technique well as increasing the number of weighting factor and clusters this new PTS system with the simultaneous calculations is that each bunch is partitioned into 2 sections and these two sections utilize the diverse weighting factors having some connection between them. The main feature of this technique is by using same size of side information PAPR performance can be improved [8].…”
Section: Papr Reduction Scheme Using Precoding Evolutionary Adaptatiomentioning
confidence: 99%
“…Signal scrambling techniques do not twist the structure of the OFDM signal and no spectral regrowth occur. These schemes incorporate coding schemes [1][2][3] which cause no distortion and make no out of band radiation, but experience from bandwidth efficiency as the code rate is lessened and also suffer from complexity to discover best codes for an expansive number of subcarriers, both PTS [4][5][6][7][8][9] and SLM [10][11][12][13][14][15] schemes accomplish significant PAPR reduction at the expense of high computational complexity and data rate loss (side information). Signal distortion methods introduce spectral regrowth or distort the spectrum of the signal and transmit a PAPR signal with no extra data.…”
Section: Introductionmentioning
confidence: 99%