2017 IEEE 13th Malaysia International Conference on Communications (MICC) 2017
DOI: 10.1109/micc.2017.8311760
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PAPR reduction of DC biased optical OFDM using combined clipping and PTS techniques

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Cited by 6 publications
(3 citation statements)
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“…The most common statistic for showing a drop in PAPR is known as the CCDF of a PAPR, and it measures the likelihood that the PAPR of an OFDM frame would surpass a particular threshold value, PAPR 0 (Abdulkafi et al 2017). Hence, it is defined as (Freag et al 2018)…”
Section: System Modelmentioning
confidence: 99%
“…The most common statistic for showing a drop in PAPR is known as the CCDF of a PAPR, and it measures the likelihood that the PAPR of an OFDM frame would surpass a particular threshold value, PAPR 0 (Abdulkafi et al 2017). Hence, it is defined as (Freag et al 2018)…”
Section: System Modelmentioning
confidence: 99%
“…where max(x(t) 2 ) is the peak power and E[x(t)] 2 is the average power. The PAPR reduction can be measured using the complementary cumulative distribution function (CCDF) [15]. The CCDF is the probability that the PAPR value reaches a certain OFDM symbol threshold and is denoted by the CCDF based on PAPR (PAPR0) [14].…”
Section: Papr Issuementioning
confidence: 99%
“…Our recent works [11], [13] have studied the VLC performance; in [2], the enhanced ADO-OFDM was proposed with Hamming coding/decoding to improve performance, and in [13], precoding techniques with Viterbi decoding was utilized with different O-OFDM to alleviate LED non-linearity. There are many methods were exist to overcome the PAPR problems in O-OFDM systems; these methods were proposed to reduce PAPR, such as the clipping method [14], partial transmit sequences (PTS) [15], selective mapping (SLM) [16], and nonlinear companding techniques [7]. The shortcomings of PAPR reduction methods such as the complexity, bit-error-rate (BER) degradation, and the average optical power swelling make the nonlinear companding method is the best option for the PAPR issue.…”
Section: Introductionmentioning
confidence: 99%