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Multi-Block Joint Optimization for the Peak-to-Average Power Ratio Reduction of FBMC-OQAM Signals

机译:降低FBMC-OQAM信号的峰均功率比的多块联合优化

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Recently, the filter bank multicarrier with offset quadrature amplitude modulation (FBMC-OQAM) has attracted increasing attention. However, most peak-to-average power ratio (PAPR) reduction schemes developed for orthogonal frequency division multiplexing (OFDM) signals are not effective for FBMC-OQAM signals, due to the overlapping structure of FBMC-OQAM signals. In this paper, we propose an improved partial transmit sequence (PTS) scheme by employing multi-block joint optimization (MBJO) for the PAPR reduction of FBMC-OQAM signals, called as MBJO-PTS scheme. In PTS scheme, one data block is divided into several subblocks and each subblock is multiplied by a phase rotation factor for the subblock. The PTS scheme searches over all combinations of allowed phase factors to lower the PAPR. Unlike existing PAPR reduction schemes of independently optimizing the data blocks, the MBJO-based scheme exploits the overlapping structure of the FBMC-OQAM signal and jointly optimizes multiple data blocks. Moreover, we develop two algorithms for the optimization problem in the MBJO-PTS scheme, including a dynamic programming (DP) algorithm to guarantee the optimal solution and avoid exhaustive search. Theoretical analysis and simulations show that the proposed MBJO-PTS scheme could provide a significant PAPR reduction in the FBMC-OQAM system, by exploiting the overlapping structure of the FBMC-OQAM signal. Employing the proposed DP algorithm, the FBMC-OQAM system with the proposed MBJO-PTS scheme even outperforms the OFDM system with the conventional PTS scheme by 0.9 dB at CCDF of $10^{-3}$ in PAPR reduction, under the same number of subcarriers, modulation type and PTS parameters given in Section?V .
机译:最近,具有偏移正交幅度调制(FBMC-OQAM)的滤波器组多载波已引起越来越多的关注。但是,由于FBMC-OQAM信号的重叠结构,为正交频分复用(OFDM)信号开发的大多数峰均功率比(PAPR)降低方案对于FBMC-OQAM信号均无效。在本文中,我们通过采用多块联合优化(MBJO)来降低FBMC-OQAM信号的PAPR,提出了一种改进的部分发射序列(PTS)方案,称为MBJO-PTS方案。在PTS方案中,一个数据块被分成几个子块,并且每个子块乘以该子块的相位旋转因子。 PTS方案搜索允许相位因子的所有组合以降低PAPR。与现有的独立优化数据块的PAPR降低方案不同,基于MBJO的方案利用FBMC-OQAM信号的重叠结构,并共同优化多个数据块。此外,针对MBJO-PTS方案中的优化问题,我们开发了两种算法,其中包括动态规划(DP)算法,以确保获得最佳解决方案并避免穷举搜索。理论分析和仿真表明,通过利用FBMC-OQAM信号的重叠结构,所提出的MBJO-PTS方案可以显着降低FBMC-OQAM系统的PAPR。使用提出的DP算法,具有提出的MBJO-PTS方案的FBMC-OQAM系统在 的CCDF上甚至比具有常规PTS方案的OFDM系统优越0.9 dB。在 Section?V 中给出的子载波数量,调制类型和PTS参数相同的情况下,PAPR降低了$ 10 ^ {-3} $

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