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Statistical Performance Comparisons of Optical OFDM Adaptive Loading Algorithms in Multimode Fiber-Based Transmission Systems

机译:多模光纤传输系统中光OFDM自适应加载算法的统计性能比较

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摘要

Detailed statistical investigations of the effectiveness of three widely adopted optical orthogonal frequency division multiplexing (OOFDM) adaptive loading algorithms, including power loading (PL), bit loading, and bit-and-power loading (BPL), are undertaken, for the first time, over 1000 statistically constructed worst-case multimode fiber (MMF) links without incorporating inline optical amplification. It is shown that the BPL (PL) algorithm always offers the best (worst) transmission performance. The absolute transmission capacity differences between these algorithms are independent of signal bit rate and increase with both transmission distance and digital-to-analog converter/analog-to-digital converter (DAC/ADC) sampling rate. More importantly, numerical results also indicate that, for both worst-case and normal-case MMF links of less than 300 m, in comparison with the most sophisticated BPL algorithm, the simplest PL algorithm is sufficiently effective in escalating the OOFDM MMF system performance to its maximum potential. The effectiveness of the PL algorithm can be further improved when a large number of subcarriers are utilized. On the other hand, for relatively long MMF links ( $>$ 800 m) with their 3-dB bandwidths being much less than the transmitted OOFDM signal spectrum, the BPL algorithm has to be adopted. The aforementioned results have great potential for practical cost-effective OOFDM transceiver architecture design.
机译:首次对三种广泛采用的光学正交频分多路复用(OOFDM)自适应加载算法(包括功率加载(PL),位加载和位和功率加载(BPL))的有效性进行了详细的统计研究。 ,超过1000个经过统计构造的最坏情况多模光纤(MMF)链路,却未包含在线光学放大。结果表明,BPL(PL)算法始终提供最佳(最差)传输性能。这些算法之间的绝对传输容量差异与信号比特率无关,并且随着传输距离和数模转换器/模数转换器(DAC / ADC)采样率的增加而增加。更重要的是,数值结果还表明,与最复杂的BPL算法相比,对于小于300 m的最坏情况和正常情况的MMF链路,最简单的PL算法足以有效地将OOFDM MMF系统性能提升至最大的潜力。当利用大量子载波时,PL算法的有效性可以进一步提高。另一方面,对于较长的MMF链路($> $ 800m),其3-dB带宽远小于所发送的OOFDM信号频谱,必须采用BPL算法。前述结果对于实际的具有成本效益的OOFDM收发器架构设计具有很大的潜力。

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