Low-Resolution Digital Pre-Compensation Enabled by Digital Resolution Enhancer

Yoffe, Yaron; Khanna, Ginni; Wohlgemuth, Eyal; Man, E. De; Spinnler, Bernhard; Hanik, Norbert; Napoli, Antonio; Sadot, Dan

doi:10.1109/jlt.2018.2885452

Cited by 38 publications

(21 citation statements)

References 21 publications

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“…In our cases, we employed 16QAM and the results show the compensation gain, but the performance can possibly degrade when we choose higher order QAM signals, which are more vulnerable to the quantization. This is a general problem of NL DPD and the method presented in [26] can be used to reduce the effect of the quantization noise.…”

Section: Performance Of Wh Dpd In Electrical B2bmentioning

confidence: 99%

Wiener-Hammerstein model and its learning for nonlinear digital pre-distortion of optical transmitters

Sasai¹,

Nakamura²,

Yamazaki³

et al. 2020

Opt. Express

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We present a simple nonlinear digital pre-distortion (DPD) of optical transmitter components, which consists of concatenated blocks of a finite impulse response (FIR) filter, a memoryless nonlinear function and another FIR filter. The model is a Wiener-Hammerstein (WH) model and has essentially the same structure as neural networks or multilayer perceptrons. This awareness enables one to achieve complexity-efficient DPD owing to the model-aware structure and exploit the well-developed optimization scheme in the machine learning field. The effectiveness of the method is assessed by electrical and optical back-to-back (B2B) experiments, and the results show that the WH DPD offers a 0.52-dB gain in signal to noise ratio (SNR) and 6.0-dB gain in optical modulator output power at a fixed SNR over linear-only DPD.

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Section: Performance Of Wh Dpd In Electrical B2bmentioning

confidence: 99%

Wiener-Hammerstein model and its learning for nonlinear digital pre-distortion of optical transmitters

Sasai¹,

Nakamura²,

Yamazaki³

et al. 2020

Opt. Express

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“…With (II), the network architecture can be simplified by utilizing high-order modulation formats -beyond 16 quadrature amplitude modulation (QAM) -at symbol rate ≥ 90 GBaud, thus enabling single-wavelength transmission up to 800G 1 . Consequently, more complex DSP algorithms, to compensate the numerous impairments affecting the signal within the transceiver and the channel -such as the compensation of narrow bandwidth [17], [18], device nonlinearities [19], [20] and effects such as IQ skew [21], [22] -will be required with the joint utilization of advanced FEC codes/schemes (III). At the moment, first 600G commercial single-wavelength transponders [23] are available, delivering a total capacity -in C-band -up to 38.4 Tb/s/fiber over legacy medium and long distances when using 400G 64QAM in 50 GHz grid [23].…”

Section: Introductionmentioning

confidence: 99%

800G DSP ASIC Design Using Probabilistic Shaping and Digital Sub-Carrier Multiplexing

Sun

Torbatian

Karimi

et al. 2020

J. Lightwave Technol.

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192

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The design of application-specific integrated circuit (ASIC) is at the core of modern ultra-high-speed transponders employing advanced digital signal processing (DSP) algorithms. This manuscript discusses the motivations for jointly utilizing transmission techniques such as probabilistic shaping and digital sub-carrier multiplexing in digital coherent optical transmissions systems. We firstly report the key-building blocks of high-speed modern DSP-based transponders working up to 800G per wave. Secondly, we show the benefits of these transmission methods in terms of system level performance. Finally, we report, to the best of our knowledge, the first long-haul experimental transmission -e.g., over 1000 km -with a real-time 7 nm DSP ASIC and digital coherent optics (DCO) capable of data rates up to 1.6 Tb/s using two waves (2×800G).

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“…In order to mitigate quantization noise, quite high oversampling rate is needed which would lead to strict demand for transmitting device in high speed UVLC system. It is also noted that the output of DSM quantizer is based on the theory that quantization noise is additive white noise [18], yet disregarding the prior knowledge of channel characteristics. Look-up table (LUT) is a nonlinear digital pre-distortion algorithm which records the average pattern dependent distortion of the channel and could compensate the impairment by nonlinear predistortion [19].…”

Section: Introductionmentioning

confidence: 99%

“…Look-up table (LUT) is a nonlinear digital pre-distortion algorithm which records the average pattern dependent distortion of the channel and could compensate the impairment by nonlinear predistortion [19]. Inspired by [18], we consider employing LUT to modify the signal according to pattern of successive symbols before DSM quantization. However, the complexity of LUT grows rapidly as CAP order increases.…”

Section: Introductionmentioning

confidence: 99%

Nonlinearity Mitigation Based on Modulus Pruned Look-Up Table for Multi-Bit Delta-Sigma 32-CAP Modulation in Underwater Visible Light Communication System

et al. 2021

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Application of light-emitting diodes (LEDs) based visible light communication (VLC) in underwater wireless communication has become a hot topic. However, on the one hand, the performance of underwater VLC (UVLC) system is limited due to power attenuation in water medium. On the other hand, increasing the driving power will induce nonlinearity from the imperfect optoelectronic components. Particularly at high signal amplitude, nonlinearity will become the dominant bottleneck. In this paper, we focus on nonlinearity mitigation method which preprocesses signal at transmitter-side. Multi-bit delta-sigma modulation combined carrier-less amplitude and phase modulation (DSM-CAP) is proposed to obtain quantized signal with lower peak-to-average power ratio (PAPR). Furthermore, as assuming the quantization noise being additive white noise is not appropriate in nonlinearity, modulus pruned weighted look-up table (MP-WLUT) is employed to modify the signal before DSM quantization to mitigate pattern dependent nonlinear distortion. Experimental results indicate that the DSM-CAP has better nonlinearity mitigating performance than normal CAP. At the data rate of about 1.69Gbp/s, utilizing MP-WLUT pre-distorted DSM-CAP an improvement of 1.44 dB Q-factor is realized compared with normal CAP without WLUT, and the size of MP-WLUT can be reduced to 62.5% of the full-size WLUT.

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Low-Resolution Digital Pre-Compensation Enabled by Digital Resolution Enhancer

Cited by 38 publications

References 21 publications

Wiener-Hammerstein model and its learning for nonlinear digital pre-distortion of optical transmitters

Wiener-Hammerstein model and its learning for nonlinear digital pre-distortion of optical transmitters

800G DSP ASIC Design Using Probabilistic Shaping and Digital Sub-Carrier Multiplexing

Nonlinearity Mitigation Based on Modulus Pruned Look-Up Table for Multi-Bit Delta-Sigma 32-CAP Modulation in Underwater Visible Light Communication System

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