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Author: search.filters.author.Sanpan, Sunisa

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    Proposal of sub-optimum algorithm for trellis-based SLM reducing PAPR of FBMC-OQAM signals
    (2018-05-30)
    Rujiprechanon, Latthawit
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    Boonsrimuang, Pisit
    ;
    Sanpan, Sunisa
    ;
    Boonsrimuang, Pornpawit
    Filter bank multi-carrier with offset quadrature amplitude modulation (FBMC-OQAM) has several advantages. FBMC-OQAM is considered a major candidate for the next generation mobile communication systems. The high peak-to-average power ratio (PAPR) is one of disadvantage for FBMC-OQAM signal which could be solved by the Trellis-based SLM (TSLM) technique. This TSLM technique has a much better PAPR reduction performance. However, the trellis-based algorithm has high computational complexity. This paper proposes the sub-optimum algorithm for trellis-based SLM scheme. The proposed algorithm show much lower computational complexity than trellis-based SLM scheme with small degradation of PAPR reduction performance. On the other hand, the PAPR reduction performance of proposed algorithm shows better than conventional SLM with similar computational complexity when the number of L symbols is large. The efficiencies of proposed scheme were verified by using various computer simulations.
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    PAPR reduction in FBMC-OQAM signals with half complexity of trellis-based SLM
    (2018-03-23)
    Jirajaracheep, Panya
    ;
    Sanpan, Sunisa
    ;
    Boonsrimuang, Pornpawit
    ;
    Boonsrimuang, Pisit
    The filter Bank Multicarrier (FBMC) modulation with offset-QAM (OQAM) has attracted attention as a major candidate for future wireless communication systems which has several advantages. A disadvantage of FBMC-OQAM is high peak-to-average power ratio (PAPR). To overcome this problem, the trellis-based SLM technique is employed and achieved a much better PAPR reduction performance. However, The Trellis-based algorithm has also the intrinsic disadvantage of high computational complexity, to decreasing the complexity will make the system more desirable. This paper proposes the half-complexity algorithm for trellis-based SLM scheme which achieves lower computational complexity when compared to trellis-based SLM scheme with small degradation of PAPR reduction performance. From various simulation results, the proposed algorithm shows less computational complexity about 50% compared to the trellis-based algorithm with similar PAPR reduction performance.
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    Improved PTS method with new weighting factor technique for OFDM signal
    (2009-10-12)
    Boonsrimuang, Pornpawit
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    Sanpan, Sunisa
    ;
    Boonsrimuang, Pisit
    ;
    Paungma, Tawil
    ;
    Kobayashi, Hideo
    Partial Transmit Sequence (PTS) method is a well - known method which can reduce the peak-to-average ratio (PAPR) for an OFDM signal. A major drawback of PTS method is its higher computation complexity due to the necessity of larger number of inverse fast Fourier transforms (IFFT). The PTS method with low computation complexity, called decomposition PTS sub-blocking was proposed [1] which employs the radix-r inverse fast Fourier transform (IFFT) for the signals at the middle stages of an N-point radix-r IFFT and decimation in frequency (DIF) domain. This method (DIF-IFFT) can reduce the computation complexity relatively while providing PAPR reduction similar to other PTS techniques. On the other hand, PTS method can improve PAPR reduction performance very well as increasing a number of weighting factors and clusters. However, the size of side information proportionally increases as increasing the number of weighting factors or/and clutters, which are required to inform the side information to the receiver for recovering the original data. In this paper, we propose the new weighting factor technique in conjunction with D-PTS sub-blocking technique which can improve both the PAPR performance and computation complexity without any increasing of side information. © 2009 IEEE.