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Author: search.filters.author.Jirajaracheep, PanyaSubject: search.filters.subject.FBMC-OQAM

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    PAPR Reduction in FBMC-OQAM Systems Using Trellis-based D-SLM with ABC Algorithm
    (2020-06-01)
    Jirajaracheep, Panya
    ;
    Mata, Tanairat
    ;
    Boonsrimuang, Pisit
    For the next age of mobile and wireless communications systems. Filter bank multicarrier conjunction with offset quadrature amplitude modulation (FBMC-OQAM) is the non-orthogonal multicarrier modulation techniques, which is mention as an essential and prominent player. It has several advantages, such as higher spectral efficiency, as compared to the traditional methods. Nevertheless, FBMC-OQAM still has a critical weakness similar to OFDM system, which is a high peak-to-average power ratio (PAPR) at the transmitter. There are several varieties of the technique presented to defeat the severe PAPR issue. The Trellis-based D-SLM technique is presented to employ and achieve a significantly improve PAPR curtailment performance. However, The Trellis-based method still has a limitation of its high computational complexity. This study presents the Trellis-based D-SLM scheme with artificial bee colony (ABC) phase optimization, which achieves lower computational complexity. The results of PAPR performance evaluation through computer simulation, the proposed technique can deliver a performance of PAPR reduction similar to the conventional Trellis-based D-SLM technique, but the proposed technique requires around 10% computation complexity of the conventional technique.
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    A PAPR reduction in FBMC-OQAM system via overlapping-PTS with artificial bee colony phase optimization
    (2019-01-01)
    Jirajaracheep, Panya
    ;
    Mata, Tanairat
    ;
    Boonsrimuang, Pisit
    In this paper, the overlapping Partial Transmit Sequence (overlapping-PTS) with Artificial Bee Colony (ABC) phase optimization method is proposed to reduce the larger Peak-to-Average Power Ratio (PAPR) which is the major drawback of filter bank multicarrier with offset quadrature amplitude modulation (FBMC-OQAM) system. In this proposed method, we clarify the problem of larger PAPR by reducing the PAPR of each overlapping data symbol with lower combination of the optimal phase factors. Unlike the conventional PTS methods, the proposed method uses the lower combination of phase factors by applying the ABC algorithm with considering the overlap between the current data symbol and the past data symbol to search the optimal phase combination. The proposed overlapping-PTS with ABC phase optimization method can significantly reduce the larger PAPR with low computational complexity for the FBMC-OQAM system which can be verified by the computer simulation results. From the computer simulation results, it can be confirmed that the proposed method shows much better PAPR which can reduce the PAPR by approximately 1.9 dB at CCDF 10<sup>-1</sup> as comparing with the conventional PTS method and can perform much lower computational complexity than the conventional methods which are only 4.38% and 0.76% for S phase factor pattern =300 and 50 respectively.
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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.