Abstract
The orthogonal frequency division multiplexing (OFDM) modulation technique is one of the key strategies for multiuser signal transmission especially in smart grids and wind farms. This paper introduces an approach for peak-to-average power ratio (PAPR) reduction of such signals based on novel global harmony search (NGHS) and partial transmit sequence (PTS) schemes. In PTS technique, the data block to be transmitted is partitioned into disjoint subblocks, which are combined using phase factors to minimize PAPR. The PTS requires an exhaustive search over all combinations of allowed phase factors. Therefore, with respect to the fast implementation and simplicity of NGHS technique, we could achieve significant reduction of PAPR.
Highlights
Orthogonal frequency division multiplexing (OFDM) is an attractive technology for high-bit-rate transmission in wireless communications and has been widely adopted in different communication applications such as smart grid communication systems and offshore wind farms (OWFs) for data transmission between wind turbines [1]
One type of peak-toaverage power ratio (PAPR) reduction methods is the probabilistic scheme; such as partial transmit sequence (PTS) technique that is based on combining signal subblocks which are phase-shifted by constant phase factors [3]
We propose a suboptimal phase optimization scheme, which can efficiently reduce the PAPR of the OFDM signals, based on a modified global harmony search (GHS) algorithm [14], called novel global harmony search (NGHS) algorithm [14]
Summary
Orthogonal frequency division multiplexing (OFDM) is an attractive technology for high-bit-rate transmission in wireless communications and has been widely adopted in different communication applications such as smart grid communication systems and offshore wind farms (OWFs) for data transmission between wind turbines [1]. One type of PAPR reduction methods is the probabilistic scheme; such as partial transmit sequence (PTS) technique that is based on combining signal subblocks which are phase-shifted by constant phase factors [3]. We propose a suboptimal phase optimization scheme, which can efficiently reduce the PAPR of the OFDM signals, based on a modified global harmony search (GHS) algorithm [14], called novel global harmony search (NGHS) algorithm [14]. This algorithm is analogous with the music improvisation process, where a musician continue to polish the pitches in order to obtain better harmony.
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