RF-pilot aided modulation format identification for hitless coherent transceiver

Xiang, Meng; Zhuge, Qunbi; Qiu, Meng; Zhou, Xinyu; Tang, Ming; Liu, Deming; Fu, Songnian; Plant, David V.

doi:10.1364/oe.25.000463

Cited by 45 publications

(14 citation statements)

References 21 publications

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“…By allocating variable bandwidth and modulation formats to each user according to their demand, the next generation flexible and cognitive networks have the potential to significantly increase the total traffic [1]. With a view toward an intelligent network, flexible transceivers that can support the transmission and reception of variable modulation formats have gained a significant amount of research interest [2,3]. One important building block of a flexible receiver is the modulation format identification (MFI) module, which tracks the modulation format of the received signal and reconfigures the digital signal processing (DSP) circuit of the receiver accordingly.…”

Section: Introductionmentioning

confidence: 99%

“…One important building block of a flexible receiver is the modulation format identification (MFI) module, which tracks the modulation format of the received signal and reconfigures the digital signal processing (DSP) circuit of the receiver accordingly. As discussed in [3][4][5][6][7][8][9], this automatic recognition functionality removes the need for end-to-end handshaking between the transmitter (Tx) and receiver (Rx).…”

Section: Introductionmentioning

confidence: 99%

“…Various MFI techniques have been proposed recently [3][4][5][6][7][8][9]. For example, Bilal et al introduced a blind MFI by evaluation the peak-to-average power ratio (PAPR) of the incoming samples after chromatic dispersion (CD) compensation and constant modulus algorithm (CMA) equalization [4].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Blind modulation format identification using nonlinear power transformation

et al. 2017

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This paper proposes and experimentally demonstrates a blind modulation format identification (MFI) method delivering high accuracy (> 99%) even in a low OSNR regime (< 10 dB). By using nonlinear power transformation and peak detection, the proposed MFI can recognize whether the signal modulation format is BPSK, QPSK, 8-PSK or 16-QAM. Experimental results demonstrate that the proposed MFI can achieve a successful identification rate as high as 99% when the incoming signal OSNR is 7 dB. Key parameters, such as FFT length and laser phase noise tolerance of the proposed method, have been characterized.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Blind modulation format identification using nonlinear power transformation

et al. 2017

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“…modulation (QAM) formats as the identification criteria [7][8][9][10][11][12][13][14][15]. The features include distributions or histograms of amplitude and phase etc.…”

mentioning

confidence: 99%

“…To guarantee high MFI accuracy, machine learning models should be retrained whenever the link is changed, which is resource consuming and not practical. The second type of MFI is data-aided (DA) scheme, which is realized with training symbols [7] or extra sub-carrier pilots [8]. It is more robust than the first type and is capable of tracking fast format switching.…”

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confidence: 99%

Modulation format identification assisted by sparse-fast-Fourier-transform for hitless flexible coherent transceivers

Tan

Lau

et al. 2019

Opt. Express

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For hitless flexible coherent transceivers based next-generation agile optical network, efficient modulation format identification (MFI) is an essential element in digital signal processing (DSP) flow at the receiver-side (Rx). In this paper, we propose a blind and fast MFI scheme with high identification accuracy at low optical signal-to-noise ratio (OSNR) regime. This is achieved by first raising the signal to the 4th power and calculate the peak-toaverage power ratio (PAPR) of the corresponding spectra to distinguish 32 quadrature amplitude modulation (QAM) from quadrature phase shift keying (QPSK), 16 and 64QAM signals. Then, followed by iterative partition schemes to remove signals with phase 3 , 4 4 π π ± ± (or QPSK-like phases) based on the signal amplitudes, the PAPR of the remaining signals is calculated to distinguish the other three formats. Additionally, by frequency offset (FO) pre-compensation, the spectrum can be obtained using sparse-fast-Fourier-transform (S-FFT), which greatly reduces the total complexity. The MFI performance is numerically and experimentally investigated by 28 Gbaud dual-polarization (DP) coherent optical back-toback (B2B) and up to 1500 km standard single mode fiber (SSMF) transmission system using QPSK, 16QAM, 32QAM, and 64QAM. Results show that high identification accuracy can be achieved, even when OSNR is lower than that required for the 20% forward error correction (FEC) threshold of-2 BER=2 10 × for each format. Furthermore, fast format switching between 64QAM-32QAM and 32QAM-16QAM are demonstrated experimentally for B2B scenario and 900 km SSMF with the proposed MFI technique, respectively.

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Flexible and fast multi‐level modulation format identification using optical orthogonal frequency division multiplexing redundancy subcarriers

Mao

Gao

Zhang

et al. 2021

Micro & Optical Tech Letters

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Compared with the orthogonal frequency division multiplexing (OFDM) communication system, the subcarrier‐index modulation OFDM communication system can alleviate the problem of peak‐to‐average power ratio and the frequency offset sensitivity. Therefore, the problem of inter carrier interference (ICI) and low power of the radio frequency amplifier in OFDM communication system can be solved to some extent. A fast and flexible modulation format recognition (MFR) scheme utilizing OFDM redundancy subcarriers is proposed in order to solve the MFR problem in coherent optical OFDM transmission. The scheme uses the silent subcarrier position of OFDM to carry modulation format information (MFI) and the receiving end decodes the MFI index by comparing the modulus values of the redundant symbols. It can recognize the phase shift keying (PSK) and multiple quadrature amplitude modulation (M‐QAM) modulation formats block by block. The number of symbols required by the proposed MFR is equal to the number of OFDM subcarriers, and the average time to get the recognition result in a block is O(1). We numerically investigate the proposed MFR among 20 Gbaud 4/16/32/64 QAM and 8/16 PSK. The results show that the correct recognition rate of the proposed scheme is not affected by the modulation formats. In particular, the proposed MFR is a potential solution for future flexible optical networks.

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RF-pilot aided modulation format identification for hitless coherent transceiver

Cited by 45 publications

References 21 publications

Blind modulation format identification using nonlinear power transformation

Blind modulation format identification using nonlinear power transformation

Modulation format identification assisted by sparse-fast-Fourier-transform for hitless flexible coherent transceivers

Flexible and fast multi‐level modulation format identification using optical orthogonal frequency division multiplexing redundancy subcarriers

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