2020
DOI: 10.1007/s12652-020-01940-0
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RETRACTED ARTICLE: Peak to average power ratio reduction of ZT DFT-s-OFDM signals using improved monarch butterfly optimization-PTS scheme

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Cited by 4 publications
(3 citation statements)
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“…If there are huge amount of non‐overlapping sub‐blocks in one symbol, then it requires, huge amount of memory. Various hybrid techniques combining PTS techniques have been proposed in recent research works in a bid to increase the performance of PAPR reduction 41‐47 . However, in our research, improved monarch butterfly optimization (IMBO) algorithm has been incorporated with the PTS technique (IMBO‐PTS) 48 for generating optimum phase factors was a success with good PAPR reduction rate.…”
Section: Structural Model Of Zt Dft‐s‐ofdmmentioning
confidence: 89%
See 1 more Smart Citation
“…If there are huge amount of non‐overlapping sub‐blocks in one symbol, then it requires, huge amount of memory. Various hybrid techniques combining PTS techniques have been proposed in recent research works in a bid to increase the performance of PAPR reduction 41‐47 . However, in our research, improved monarch butterfly optimization (IMBO) algorithm has been incorporated with the PTS technique (IMBO‐PTS) 48 for generating optimum phase factors was a success with good PAPR reduction rate.…”
Section: Structural Model Of Zt Dft‐s‐ofdmmentioning
confidence: 89%
“…Various hybrid techniques combining PTS techniques have been proposed in recent research works in a bid to increase the performance of PAPR reduction. [41][42][43][44][45][46][47] However, in our research, improved monarch butterfly optimization (IMBO) algorithm has been incorporated with the PTS technique (IMBO-PTS) 48 for generating optimum phase factors was a success with good PAPR reduction rate. Selected suitable factor amalgamation b ¼ b 1 , …, b v ½ through IMBO makes the result achieve optimum.…”
Section: Imbo-partial Transmit Sequence Technologymentioning
confidence: 99%
“…Most popular evolutionary methods of Grey Wolf Optimization, Ray Optimization, Gravitational Search Algorithm (GSA), Charged System Search (CSS), Biogeographic optimization algorithm (BBO), Differential Evolutionary Algorithm (DE), and Genetic Algorithm (GA) etc., were applied in OFDM [7]. PTS method phase factor sequence selection is a non-linear optimization problem and the presence of a large number of sub-blocks non-overlapping greatly affects the memory usage and greater complexity [8]. Some of the researches involve in applying jointly optimization of BER and PAPR performance to overcome the drawbacks of signal companding transform method [9,10].…”
Section: Introductionmentioning
confidence: 99%