Open Access
11 November 2014 All-optical broadcast technology based on aluminum-doped highly nonlinear fiber
Lijuan Li, Jinlong Yu, Ju Wang, Wenrui Wang, Shi Jia, Qiong Wu, Lixia Dou, Biao Huang
Author Affiliations +
Abstract
Making use of the four-wave mixing, a realization of all-optical 1×6 broadcast technology based on aluminum-doped highly nonlinear fiber (AL-HNLF) is performed. In the system, a set of experiments at channel intervals of 50, 100, and 200 GHz are conducted, and clear eye diagrams as well as low error performance are obtained with an input optical signal of a continuous wave and a 10-Gb/s return-to-zero on-off keying signal, which mostly benefits from the AL-HNLF used in this system. In detail, resulting from the high stimulated Brillouin scattering threshold of AL-HNLF, more power can be launched into the fiber. Additionally, similar performances of different channel spaces demonstrate the adjustability for this technology. With these distinguishing features, this technology might satisfy the basic expectation of utility.

1.

Introduction

Since optical fibers possess advantages such as transmission bandwidth, low transmission loss, anti-interference ability, and other characteristics, optical communication1,2 technology has gained in popularity in the communications infrastructure. Optic-electric-optic (O/E/O) conversion is a result of its development. However, this existing (O/E/O) conversion is at the expense of a complex structure, high cost, and the highest conversion efficiency is limited to an “electronic bottleneck.” Therefore, all-optical communication would be a more attractive strategy for communication modes. To be exact, the method of broadcast whose structure is simple as well as giving an advantage in terms of wavelength multiplexing tends to be more popular. 3,4

The dominant implementations of all-optical broadcast are as follows: cross-gain modulation,510 cross-phase modulation,1113 and four-wave mixing (FWM) for semiconductor optical amplifier (SOA)14 and FWM for highly nonlinear fiber (HNLF).15 Since FWM has the capability of signal processing transparently in data format16 and can be used in both phase and intensity modulations, it attracts people’s interest. Furthermore, compared with FWM for SOA, FWM for HNLF has a fast response, flat broadband, and low noise. However, stimulated Brillouin scattering (SBS)17,18 limits the amount of power that can be launched into a fiber and the maximum nonlinearity that can be achieved from HNLF as well. Recently, a novel type of HNLF called aluminum-doped HNFL (AL-HNLF) has been of note for its SBS threshold, which is much higher than that of a conventional HNLF.19 With a high SBS threshold, a more efficient nonlinear process can be obtained without SBS suppression. Interestingly, the experiments using AL-HNLF do result in a high performance. The bit error rates (BERs) of most data signals reach 109, which indicates most signals are obtained with error-free performance. The BERs for the worst signals reach 103, but their performance can still be improved by error correction.

In this paper, three similar experiments with channel intervals of 50, 100, and 200 GHz are conducted based on AL-HNLF and the results demonstrate a good performance of the broadcast technology based on AL-HNLF. Thus, it turns out to be adjustable and flexible for this technology in practical applications.

2.

Principle of Broadcast

A 10-Gb/s return-to-zero signal (at the frequency of fs) with a pump light (at the frequency of fcw) is injected into the HNLF. As a result of the nonlinear effect in HNLF, two new signals that carry the broadcast information are generated and their frequencies are f1 and f2, respectively. The frequency relationships are given by

Eq. (1)

f1=2fsfcw,

Eq. (2)

f2=2fcwfs.

When the power of the two new signals is high enough to be a pump, another two new signals are produced at the frequencies of

Eq. (3)

f3=2f1f2,

Eq. (4)

f4=2f2f1.

Similarly, as long as the new signals meet the phase match condition and have enough power, higher-order signals will be generated. In other words, the information is copied in different wavelengths. Let c denote the velocity of the light in a vacuum. The FWM process in terms of wavelength could be derived by substituting f=(c/λ) into Eqs. (1)–(4). Let us take Eq. (1) for example. The corresponding wavelength relationship is given by

Eq. (5)

1λ1=2λs1λcw,

Eq. (6)

λsλ1λ1λs=λcwλsλcwλs.

In our experiment, the slight wavelength differences among λcw, λs, λ1 result in the approximate equation (λ1/λcw)1. Hence, Eq. (6) becomes

Eq. (7)

λ12λsλcw.

The relationship in Eq. (7) works for Eqs. (2)–(4) and also works for the higher-order signals that are generated in the FWM process. In our experiments, we apply the approximate equations into the whole data analysis.

As shown in Fig. 1, the system components are the laser diode (LD), polarization controller (PC), intensity modulator (IM), erbium-doped fiber amplifier (EDFA), optical band-pass filter (OBF), 3-dB optical coupler (OC), AL-HNLF [length: 130 m, nonlinear coefficient: 7.4W1km1, SBS threshold for 130 m: 1000 mW, attenuation: 15dB/km, dispersion slope: 0.011ps/(nm2km), effective area: 13.5μm2], tunable band-pass filter (TBF), oscilloscope (OSC), optical spectrum analyzer (OSA), and BER tester. LD1 generates a continuous wave (CW) at a wavelength of 1556 nm (λs), modulated by a 10-Gb/s pseudorandom bit sequence (231-1) electrical data signal. LD2 produces another CW (at the wavelength of λcw); for any CW, no additional SBS suppression stages are used in this system. We adjust the PC if necessary before they are coupled into the OC. At the input of EDFA, the average power is 1.1 dBm, and the coupled signal is amplified up to 34 dBm after the EDFA. Then the amplified signal passes through the 3-nm OBF to block amplified spontaneous emission noise, and is finally launched into AL-HNLF with an average input power of 33 dBm. Different wavelengths are filtered through the TBF, which are evaluated in the OSA. The corresponding eye diagrams are shown in the OSC. Meanwhile, a BER tester is applied to analyze the performances of broadcast signals.

Fig. 1

Experimental system for aluminum-doped highly nonlinear fiber (AL-HNLF) based on broadcast of a 10-Gb/s return-to-zero signal.

OE_53_11_116107_f001.png

3.

Results

The performances for the configurations of a 50-GHz channel interval and 1556.4-nm wavelength of λcw generated by LD2 are described as follows.

Figure 2 depicts the optical spectra at the input and output of the AL-HNLF. As shown in Fig. 2(b), six new signals are detected. The wavelengths are 1555.6, 1556.8, 1555.2, 1557.2, 1554.8, and 1557.6 nm, which are identical to the analysis above. Note that due to the device limit, before being fed into the AL-HNLF, the undesired frequency component could not be completely filtered out. Hence, as shown in Fig. 2(a), two remaining frequency components are found at λ1 and λ2, which are caused by the nonlinear process in the EDFA.

Fig. 2

Optical spectra at the (a) input and (b) output of the AL-HNLF with a channel interval of 50 GHz.

OE_53_11_116107_f002.png

Figures 3 and 4 show the optical spectra and eye diagrams at different wavelengths of the new generated signals. With a decrease of power density from λ1 to λ6, the performance of the broadcast signals are deteriorated, especially at λ5 (1554.8 nm) and λ6 (1557.6 nm). Furthermore, the “0” level performs better than the “1” level. In brief, the clear eye diagrams from λ1 to λ4 demonstrate a good performance for the broadcast signals.

Fig. 3

Optical spectra of the broadcast signals after the filtering subsystem (channel space: 50 GHz).

OE_53_11_116107_f003.png

Fig. 4

Eye diagrams 1×6 broadcast at different wavelengths with channel interval of 50 GHz: (a) at 1555.6 nm (λ1), (b) at 1556.8 nm (λ2), (c) at 1555.2 nm (λ3), (d) at 1557.2 nm (λ4), (e) 1554.8 nm (λ5), and (f) 1557.6 nm (λ6).

OE_53_11_116107_f004.png

The BERs of broadcast signals are shown in Fig. 5. Broadcast signals at λ1 (1555.6 nm), λ2 (1556.8 nm), λ3 (1555.2 nm), and λ4 (1557.2 nm) run error free with low power, while data signals at λ5 (1554.8 nm) and λ6 (1557.6 nm) require a relatively high power to offer an error-free (109) approximation. However, an error floor (103) exists for λ5 (1554.8 nm) and λ6 (1557.6 nm), which indicates that the performance of λ5 (1554.8 nm) and λ6 (1557.6 nm) could be improved with an error-correcting code stage.

Fig. 5

BER curves of the six broadcast signals (channel space: 50 GHz).

OE_53_11_116107_f005.png

The performances for the configurations of 100-GHz channel interval and 1556.8-nm wavelength of λcw generated by LD2 are described as follows.

Figure 6 represents the optical spectra at the input and output of the AL-HNLF. As shown in Fig. 6(b), six new signals are detected and their wavelengths are 1553.6, 1554.4, 1555.2, 1557.6, 1558.4, and 1559.2 nm. Figures 7 and 8 show the optical spectra and eye diagrams at different wavelengths for the new generated signals. The analysis is similar to 50 GHz. The BERs of the broadcast signals are shown in Fig. 9. The case is similar to 50 GHz.

Fig. 6

Optical spectra at the (a) input and (b) output of the AL-HNLF with a channel interval of 100 GHz.

OE_53_11_116107_f006.png

Fig. 7

Optical spectra of the broadcast signals after the filtering subsystem (channel space: 100 GHz).

OE_53_11_116107_f007.png

Fig. 8

Eye diagrams of a 1×6 broadcast at different wavelengths with channel interval of 100 GHz: (a) at 1555.2 nm (λ1), (b) 1557.6 nm (λ2), (c) 1554.4 nm (λ3), (d) 1558.4 nm (λ4), (e) 1553.6 nm (λ5), and (f) 1559.2 nm (λ6).

OE_53_11_116107_f008.png

Fig. 9

BER curves of the six broadcast signals (channel space: 100 GHz).

OE_53_11_116107_f009.png

The performances for the configurations of a 200-GHz channel interval and 1557.6-nm wavelength of λcw generated by LD2 are described as follows.

Figure 10 describes the optical spectra at the input and output of the AL-HNLF. As shown in Fig. 10(b), six new signals are detected and the wavelengths are 1554.4, 1559.2, 1552.8, 1560.8, 1551.2, and 1562.4 nm. Figures 11 and 12 depict the optical spectra and eye diagrams at different wavelengths for the new generated signals. The analysis is similar to 50 GHz. The BERs of broadcast signals are shown in Fig. 13. The case is similar to 50 GHz.

Fig. 10

Optical spectra at the (a) input and (b) output of the AL-HNLF with a channel interval of 200 GHz.

OE_53_11_116107_f010.png

Fig. 11

Optical spectra of the broadcast signals after the filtering subsystem (channel space: 200 GHz).

OE_53_11_116107_f011.png

Fig. 12

Eye diagrams of a 1×6 broadcast at different wavelengths with channel interval of 200 GHz: (a) at 1554.4 nm (λ1), (b) at 1559.2 nm (λ2), (c) at 1552.8 nm (λ3), (d) at 1560.8 nm (λ4), (e) at 1551.2 nm (λ5), and (f) at 1562.4 nm (λ6).

OE_53_11_116107_f012.png

Fig. 13

BER curves of the six broadcast signals (channel space: 200 GHz).

OE_53_11_116107_f013.png

4.

Conclusion

In this paper, three different channel intervals of 50, 100, and 200 GHz broadcast experiments have been implemented, respectively. The clear eye diagrams as well as the low error performance demonstrate the broadcast technology based on AL-HNLF without any SBS suppression stage. Although data signals at λ1 and λ6 are not as good as the others, they can still be improved by reducing coupling losses and losses in the AL-HNLF or increasing the magnification of the EDFA. Additionally, though these experiments are conducted at 10Gb/s and since FWM possesses the transparent characteristics of fast response and signal processing in data format, similar results can be extracted at other rates. Consequently, these three experiments show that the wavelength is tunable, which indicates a strong application for broadcast technology.

Acknowledgments

The authors would like to thank Professor Enze Yang and Professor Jinlong Yu at the School of Electrical and Information Engineering in Tianjin University and thank Ju Wang for the support in the experiments.

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Biography

Lijuan Li is a graduate student at Tianjin University. She received her BS degree in communication engineering from Tianjin University in 2012. Her current research interests include optical application and sensors.

Jinlong Yu received his MS and PhD degrees from Tianjin University, China, in 1994 and 1997, respectively. In 1997, he joined Tianjin University. He became a full professor and group leader in the Optical Fiber Communication Laboratory of Tianjin University. He researches high-speed optical signal processing and functional elements for radio over fiber and RoF applications.

Ju Wang received her BS and MS degrees from Tianjin University in 2008 and 2010, respectively, and her PhD degree from Tianjin University in 2013. Her doctoral work principally concerned optical signal processing, especially all-optical regeneration in highly nonlinear fiber. In 2012, she joined the High-Speed Optical Communications Group at the Technical University of Denmark as a visiting PhD student. Since September 2012, she has been working with the Optical Fiber Communication Laboratory of Tianjin University. Her research interests include all-optical signal processing and optoelectrical oscillators.

Wenrui Wang is an associate professor at Tianjin University and his research interests include optical fiber communication and photonic microwaves.

Shi Jia is a PhD student at Tianjin University.

Qiong Wu is a graduate student at Tianjin University whose current research interests include optical application and sensors.

Lixia Dou is a graduate student at Tianjin University whose current research interests include optical application and sensors.

Biao Huang is a graduate student at Tianjin University whose current research interests include optical application and sensors.

CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
Lijuan Li, Jinlong Yu, Ju Wang, Wenrui Wang, Shi Jia, Qiong Wu, Lixia Dou, and Biao Huang "All-optical broadcast technology based on aluminum-doped highly nonlinear fiber," Optical Engineering 53(11), 116107 (11 November 2014). https://doi.org/10.1117/1.OE.53.11.116107
Published: 11 November 2014
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KEYWORDS
Eye

Nonlinear optics

Signal detection

Channel projecting optics

Optical engineering

Optical amplifiers

Signal generators

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