Generation and FEC-Decoding of a 231.5-Gb/s PDM-OFDM Signal with 256-Iterative-Polar-Modulation Achieving 11.15- b/s/Hz Intrachannel Spectral Efficiency and 800-km Reach

Liu, Ming; Lotz,; Winzer,; Haunstein,; Randel,; Corteselli,; Zhu, Jun; Peckham,

doi:10.1364/ofc.2012.pdp5b.3

Cited by 10 publications

(2 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this paper, three kinds of constellations are generated based on nonuniform iterative polar quantization; the orders of these constellations M are equal to 16, 64, 256, respectively. The relevant constellation is shown in Figure 1, which is consistent with [17][18][19][20]. The IPM constellations show that it is a kind of circle modulation method.…”

Section: Principle Of the Proposed Scheme 21 Geometric Shaping Based On Iterative Polar Modulationsupporting

confidence: 83%

K-means Cluster Algorithm Applied for Geometric Shaping Based on Iterative Polar Modulation in Inter-Data Centers Optical Interconnection

et al. 2021

View full text Add to dashboard Cite

The demand of delivering various services is driving inter-data centers optical interconnection towards 400 G/800 G, which calls for increasing capacity and spectrum efficiency. The aim of this study is to effectively increase capacity while also improving nonlinear noise anti-interference. Hence, this paper presents a state-of-the-art scheme that applies the K-means cluster algorithm in geometric shaping based on iterative polar modulation (IPM). A coherent optical communication simulation system was established to demonstrate the performance of our proposal. The investigation reveals that the gap between IPM and Shannon limit has significantly narrowed in terms of mutual information. Moreover, when compared with IPM and QAM using the blind phase searching under the same order at HD-FEC threshold, the IPM-16 using the K-means algorithm achieves 0.9 dB and 1.7 dB gain; the IPM-64 achieves 0.3 dB and 1.1 dB gain, and the IPM-256 achieves 0.4 dB and 0.8 dB gain. The robustness of nonlinear noise and high capacity enable this state-of-the-art scheme to be used as an optional modulation format not only for inter-data centers optical interconnection but also for any high speed, long distance optical fiber communication system.

show abstract

Section: Principle Of the Proposed Scheme 21 Geometric Shaping Based On Iterative Polar Modulationsupporting

confidence: 83%

K-means Cluster Algorithm Applied for Geometric Shaping Based on Iterative Polar Modulation in Inter-Data Centers Optical Interconnection

et al. 2021

View full text Add to dashboard Cite

show abstract

“…Over the past decade, the developments of advanced optical modulation formats and digital signal processing (DSP) have boosted the optical transmission close to the capacity limit. To approach the capacity of a band-limited channel at the linear regime, constellation shaping by either geometric [1,2] or probabilistic [3,4] methods are exploited to achieve the Gaussian shaping gain. While fiber channels are commonly treated with flat frequency response owing to the ultrawide bandwidth of both fiber optics and optical amplifiers, other bandwidthlimited devices inside the transmission system can give rise to colored-SNR effect across the spectrum like the cascaded ROADMs in meshed optical networks [5][6][7].…”

Section: Introductionmentioning

confidence: 99%

Squeezing out the last few bits from band-limited channels with entropy loading

Che

Shieh

2019

Opt. Express

View full text Add to dashboard Cite

The past decade witnessed the stirring development of advanced optical modulations and digital signal processing, which have been pushing optical transmission systems towards the capacity limit. Recent research has sought to squeeze out the last few bits from bandwidth-limited optical channels. One straightforward path is to expand the signal spectrum beyond the bandwidth limit while keeping the single-carrier modulation, which inevitably induces huge inter-symbol interference. To cope with such penalty, sophisticated digital nonlinear equalization on single-carrier signals should be exploited to reduce the burden of the subsequent forward error corrections (FEC). On the other hand, a more instinctive capacity-approaching method for bandwidth-deficient channels is the well-known water-filling realized by multicarrier modulation. As its approximation, bit loading (BL) has been a well-established algorithm to maximize the bit rate of a discrete multitone (DMT) channel with fixed-rate FEC. Built on probabilistic constellation shaping (PCS), multicarrier entropy loading (EL) goes beyond BL by continuous source entropy adaptation and has proven its superiority over the single-carrier PCS counterpart. In this paper, we reveal the EL advantage over BL on both achievable information rate (AIR) and FEC, aiming to prove EL as the optimum capacity-approaching solution for bandwidth-limited channels with frequency-selective fading. In a 100G direct detection system with a bandwidth-deficient directly modulated laser, EL improves the AIR by 5%-10% over BL using identical FEC overhead. EL will be critical for short-reach interconnects dominated by low-cost optical components to squeeze out the last few bits from the bandwidth-constrained system.

show abstract