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Rate-Adaptive Coding for Optical Fiber Transmission Systems

机译:光纤传输系统的速率自适应编码

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We propose a rate-adaptive transmission scheme using variable-rate forward error correction (FEC) codes with a fixed signal constellation and a fixed symbol rate, quantifying how achievable bit rates vary with distance in a long-haul fiber system. The FEC scheme uses serially concatenated Reed-Solomon (RS) codes with hard-decision decoding, using shortening and puncturing to vary the code rate. An inner repetition code with soft combining provides further rate variation. While suboptimal, repetition coding allows operation at very low signal-to-noise ratio (SNR) with minimal increase in complexity. A rate adaptation algorithm uses the SNR or the FEC decoder input bit-error ratio (BER) estimated by a receiver to determine the combination of RS-RS and repetition codes that maximizes the information bit rate while satisfying a target FEC decoder output BER and providing a specified SNR margin. This FEC scheme is combined here with single-carrier polarization-multiplexed quadrature phase-shift keying (PM-QPSK) and digital coherent detection, achieving 100-Gbit/s peak information bit rate in a nominal 50-GHz channel bandwidth. We simulate variable-rate single-channel transmission through a long-haul system incorporating numerous optical switches, evaluating the impact of fiber nonlinearity and bandwidth narrowing. With zero SNR margin, achievable information bit rates vary from 100 Gbit/s at 2000 km, to about 60 Gbit/s at 3000 km, to about 35 Gbit/s at 4000 km. Compared to an ideal coding scheme achieving information-theoretic limits on an AWGN channel, the proposed coding scheme exhibits a performance gap ranging from about 5.9 dB at 2000 km to about 7.5 dB at 5000 km. Much of the increase in the gap arises from the inefficiency of the repetition coding used beyond 3280 km. Rate-adaptive transmission can extend reach when regeneration sites are not available, helping networks adapt to changing traffic demands. It is likely to become more important with the continued evo- - lution toward optically switched mesh networks, which make signal quality more variable.
机译:我们提出一种速率可变的传输方案,该方案使用具有固定信号星座图和固定符号率的可变速率前向纠错(FEC)码,量化了长距离光纤系统中可实现的比特率如何随距离而变化。 FEC方案使用带有硬决策解码的串行级联里德所罗门(RS)码,并通过缩短和删余来改变码率。具有软组合的内部重复码可提供进一步的速率变化。虽然次优,但是重复编码允许以非常低的信噪比(SNR)进行操作,而复杂性的增加最小。速率自适应算法使用接收器估算的SNR或FEC解码器输入误码率(BER)来确定RS-RS和重复码的组合,以使信息比特率最大化,同时满足目标FEC解码器输出BER并提供指定的SNR余量。该FEC方案在这里与单载波极化复用正交相移键控(PM-QPSK)和数字相干检测相结合,在标称50 GHz信道带宽中实现了100 Gbit / s的峰值信息比特率。我们通过包含大量光开关的远程系统模拟可变速率单通道传输,评估光纤非线性和带宽变窄的影响。 SNR余量为零时,可实现的信息比特率从2000 km时的100 Gbit / s到3000 km时的约60 Gbit / s,再到4000 km时的约35 Gbit / s。与在AWGN信道上实现信息理论限制的理想编码方案相比,所提出的编码方案表现出的性能差距介于2000 km时的约5.9 dB到5000 km时的约7.5 dB。间隙的大部分增加是由于在3280 km以上使用的重复编码效率低下造成的。当没有再生站点时,速率自适应传输可以扩展范围,帮助网络适应不断变化的流量需求。随着光交换网状网络的不断发展,使信号质量更加可变,这一点可能变得越来越重要。

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