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Minimizing the PAPR for FBMC/OQAM Signals Using Enhanced-PTS with Low Complexity Search

Mahaman Noura Issaka Ango 1, Elijah Mwangi 2, and Moctar Mossi Idrissa 3
1. Department of Electrical Engineering, Pan African University, P.O. BOX 62000 Nairobi, Kenya
2. Faculty of Engineering, University of Nairobi, P.O. BOX 30197 Nairobi, Kenya
3. Department of Physics, Université Abdou Moumouni de Niamey, P.O. BOX 10662 Niamey, Niger

Abstract—The filter bank multicarrier with offset quadrature amplitude modulation (FBMC/OQAM) scheme has recently become a focus of interest for many scholars and researchers. Despite its impressive advantages over Orthogonal Frequency Division Multiplexing (OFDM), the FBMC/OQAM system exhibits high Peak-to-Average Power Ratio (PAPR) which could plague its performance if it is not properly managed. In this paper, we proposed a PAPR reduction scheme that improves the Partial Transmit Sequence (PTS) to an enhanced PTS (EPTS), then employs a low complexity search to determine the optimal combination of phase factors. In the enhanced PTS, the FBMC/OQAM data blocks are partitioned into sub-blocks by taking into account their overlapping arrangement, then a segmentation operation is performed to the overall overlapping partitioned data blocks in order to form several segments of sub-blocks. After that, the segments are optimized consecutively by applying a phase factor search approach. Referred to as enhanced PTS with iterative flipping (EPTS-IF), the proposed scheme optimizes consecutively the segments of sub-blocks by employing Iterative Flipping approach. The PAPR reduction performance and the computational complexity of the proposed scheme have been evaluated through computer simulations and theoretical analysis which revealed a significant PAPR reduction gain of approximately 30.48%, and at a low computational cost.
Index Terms—Enhanced-PTS, FBMC/OQAM, Iterative Flipping (IF), Low Complexity, PAPR

Cite: Mahaman Noura Issaka Ango, Elijah Mwangi, and Moctar Mossi Idrissa, "Minimizing the PAPR for FBMC/OQAM Signals Using Enhanced-PTS with Low Complexity Search," Journal of Communications vol. 17, no. 6, pp. 412-422, June 2022. Doi: 10.12720/jcm.17.6.412-422

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