1. Introduction
With the exponential growth on the transmission rate of the optical fiber communication networks, the technologies significantly increasing the system capacity, e.g., advanced modulation formats or ultra-high-density multiplexing, have been implemented into the real transmission system [
1]. However, such a system becomes more vulnerable due to the higher requirement on the optical signal-to-noise ratio (OSNR), whose performance is sensitive to the accumulated amplifier spontaneous emission (ASE) noise, the fiber dispersion, or the Kerr effect-induced nonlinear distortions [
2,
3,
4]. This situation becomes even worse for long-haul transmission operations [
5]. To improve the system performance, great efforts through proposing novel approaches have been carried out for decades. These methods can be categorized into two groups: one is to deal with the distortions in the electrical domain at the receiver end; and the other is implemented into the middle of the transmission link directly in the optical domain. For the compensation algorithm in the electrical domain, it was successfully utilized at the commercial receiver, which could compensate the distortions from the fiber dispersion or even the Kerr nonlinearity [
6,
7]. However, for the application into the transmission link, the optical processing method is more attractive because of no extra energy-hungry, complex optical-electrical-optical (O/E/O) processes implemented in such schemes [
8,
9]. Therefore, this paper focuses on the signal processing directly in the optical domain.
The signal’s distortions could be mitigated directly in the optical domain through all-optical regenerators [
10] or the compensation schemes, e.g., the optical phase conjugator (OPC) [
9]. The OPC is more suitable to be implemented into the transmission link when dealing with the deterministic distortions that originated from the fiber dispersion or the Kerr nonlinearity, without implementing the amplitude or phase matching processes that have to be carefully performed in the regenerators, especially for the multi-level modulation formats [
11]. Multiple functions, e.g., the wavelength-shift free processes [
12] or the cascaded inline operation [
13] were performed through OPC supporting the high-capacity, long-haul transmission. The OPC function has been demonstrated through a variety of nonlinear optical devices, such as the highly nonlinear fiber [
11], the silicon waveguide [
14], the periodically poled lithium niobate (PPLN) [
15], or the semiconductor optical amplifier (SOA) [
16]. Highly launched optical power is naturally expected in the passive devices because more pump is required to stimulate the nonlinear process. However, multiple effects, e.g., the stimulated Brillouin scattering (SBS) in fibers [
17] or the two-photon absorption (TPA) in silicon waveguides [
18], introducing the nonlinear losses into the optical devices, dramatically reduce the effectively launched power and also increase the complexity of such systems by adopting additional approaches to mitigate their impacts. By contrast, the low launched power is required in the active SOA, only microwatt or even lower power for the most of cases, bypassing the high-power pump injection issue. Therefore, the active SOA-based OPC subsystem is more suitable to be implemented into the real transmission systems.
SOA-based signal processing was extensively discussed when the conventional on-off keying (OOK) data formats were widely used in the optical fiber communication networks. The nonlinear interferometer configurations performed by several SOA units could demonstrate the functions of the date conversion [
19], the signal regeneration [
20], or the nonlinear gate [
21]. These nonlinear-optical loop mirrors (NOLMs) or the Mach–Zehnder interferometers (MZIs) are more sensitive to the environment factors, such as the temperature or the vibration. Therefore, the nonlinear process that only happen in one SOA unit is more attractive. The signal processing in such systems performed amplitude regeneration for OOK [
22] or quadrature phase-shift keying (QPSK) signals [
23,
24] through the conventional optical parametric processes. A novel scheme by using a bidirectional SOA configuration was proposed, in which the four-wave mixing (FWM) process between pump and signal not only happened at the co-propagating directions, but also at the opposite direction where there was no signal launched [
25]. In this paper, we focus on the pump selection and the consequent OPC behaviors in the nonlinear bidirectional SOA configuration by simulation and experiment. The discussion on the conjugated conversion of QPSK signals helps to locate the optimized operation of advanced modulation formats for the modern optical fiber communication systems.
In this work, we report a thoughtful investigation on the OPC performance in the nonlinear bidirectional SOA configuration, and its impacts on both the amplitude and phase of input signals. The content is extended from our previous works [
26] and organized as follows: In
Section 2, we carry out the numerical simulation for all four cases of the launched pump-x-polarized forward (XF), y-polarized backward (YB), y-polarized forward (YF), and x-polarized backward (XB); in
Section 3 we experimentally demonstrate the OPC process in only one bidirectional SOA and discuss the obtained QPSK results from both the amplitude and phase information; in
Section 4, the discussion on the OPC and the amplitude noise suppression is carried out for the proposed scheme; we summarize our results in
Section 5.
2. Numerical Simulation
The SOA considered in our OPC subsystem is an active optical device, which supports the nonlinear response in the bidirectional operation, depicted in
Figure 1. In such nonlinear unit, the bidirectionally injected pump
P could perform the nonlinear mixing behavior through FWM with the single-launched signal
S, obtaining the OPC products from the two ports of SOA at the same time [
25]. This process is also related to the polarization of the input pump and signal. Therefore, two groups including four cases, i.e., pump-XF, -YB, -YF, and -XB are considered in the proposed OPC subsystem. Although the signal is only inputted from the single port, i.e., the input port, the OPC products could be collected from both the input and output ports, relaxing the requirement of the conventional FWM, which expects the co-propagating direction between pump and signal to satisfy the phase-matching condition.
Based on the principle of the nonlinear bidirectional SOA-based OPC process, we set up the simulation platform in VPI, the system depicted in
Figure 2. The simulation system includes three parts: the QPSK transmitter, the OPC subsystem, and the coherent receiver. In the transmitter, the optical QPSK signal was generated through an IQ modulator. The continuous-wave (CW) light with the frequency of 193.0 THz was injected into the IQ modulator, which was driven by the electrical signals from an arbitrary waveform generator (AWG). Then, the obtained optical QPSK signal was amplified by an Erbium-doped fiber amplifier 1 (EDFA1) and launched into a “Set OSNR” unit to load the ASE noise, which was used to evaluate the impact from the cascaded EDFAs as the real implementation. The bandpass filter 1 (BPF1) with the bandwidth of 0.32 nm was utilized to block the ASE noise from the outside band. At the output of the transmitter, we obtained the degraded QPSK signals with a defined OSNR.
The nonlinear bidirectional SOA-based OPC subsystem is the key to the test platform. The model of SOA used in the simulation was “SOA_TLM” in VPI. The main parameters were: the length of the device section was 6.33 × 10−4 m, the nonlinear index was 6.2 × 10−19 m2/W, and the effective mode area was 10−12 m2. The bidirectionally injected pump was generated by a CW light source, with a frequency of 193.1 THz located at the channel C31 in the wavelength division multiplexing (WDM) grid. According to the phase-matching condition of the FWM process, the OPC product could be observed at the frequency of 193.2 THz, also located at the WDM grid-channel C32. The CW pump was firstly split by a polarization beam splitter (PBS) into the two equal-power parts with orthogonal state-of-polarizations (SOPs) PH and PV. The optical power and SOP of the pump were adjusted by the polarization controller 2 (PC2) and the variable optical attenuator 1 (VOA1). Then, the two orthogonal pumps were launched into the bidirectional SOA from the input and output port, respectively. The other input was the QPSK signal SV or SH, in which SOP was controlled by a PC1 to make an alignment to the upper component of the pump. The QPSK with the data rate of 20 Gb/s was only injected from the forward direction through the input-port into the bidirectional SOA. However, the FWM process and the consequent OPC product could be observed by the two ports of SOA, simultaneously. Two optical circulators (CIRs) were placed at the input and output port of SOA to separate all of the FWM products from the opposite inputs.
At the coherent receiver, the OPC product S was selected by a BPF2 with the bandwidth of 0.32 nm. The conjugated signal was launched into the dual-polarization coherent receiver, which could not only detect the QPSK signals, but also monitor its polarization property. The local oscillator (LO) with the frequency of 193.2 THz, the same as the conjugated input, was injected into the receiver from LO port, in which SOP was adjusted by PC3 to make the best coherent detection. The electrical data were further processed by the digital signal processing (DSP) algorithms to perform the basic compensation, including the functions of compensating phase noise and equalizing the linear crosstalk between symbols.
The nonlinear bidirectional SOA scheme could support two types of the allocation for the pump, the two orthogonally linearly-polarized components x or y propagating through the upper or lower arms, respectively. See the symbols of the parallel “═” and the vertical “┴” in the OPC subsystem of
Figure 2. Because the FWM process happened for both directions, the OPC products were collected from the output port and the input port, simultaneously. For the results obtained from output port, the conjugated was generated by the nonlinear mixing between the upper-arm pump and the input signal; while, the conjugated result from input port was the product between the lower-arm pump and the counter-propagating input signal. Therefore, we have a total of four OPC products from the two groups: group one—XF with YB; and group two—YF with XB. In what follows, we focus on the OPC processes for the four cases.
2.1. OPC in Group One: XF and YB Cases
We adjusted the PC1 and PC2 to restrict the signal and the forward upper-pump component at x-polarization and the corresponding FWM spectrum was observed at the port 3 of CIR2 as depicted in
Figure 3a. This is the conventional FWM behavior, which contains the co-propagating pump and signal. Not only the conjugated component was obtained, but also the high-order FWM products observed in this case. We kept the forward pump power as 0 dBm and swept the signal power, obtaining the relationship between the conjugated power and the pump-to-signal ratio (PSR) in
Figure 3b. The PSR is critical to the operation of the SOA in the all-optical signal processing [
24], which could suppress the pattern effect through the constant optical power, i.e., the CW pump in our case. In
Figure 3b, only one plateau region was observed when increasing the input PSR, the peak power obtained at PSR= 2 dB. In the view of the signal regeneration, the best quality of the obtained conjugation should be achieved in this region, because both the OPC and the amplitude noise suppression were performed at the same time. We further monitored the signal quality through SNR for different input PSRs, results depicted in
Figure 3c. The highest SNR obtained by the conjugated was 18.02 dB at PSR = 1 dB, slightly shifting from the peak power point, which was 3.25 dB SNR gain compared to the input signal (SNR = 14.77 dB). The constellation results from the input and the conjugated signals confirmed the OPC performance. We also obtained the region from PSR = −4 dB to 11 dB, where the conjugated production has better signal quality compared to the input. From the collections of the dual-polarization coherent receiver, the conjugated power was −3.1 dBm mainly in x-polarization (only −21.5 dBm in y-polarization), so the SOP of the conjugated obtained in the XF case is the same as the input signal. To reveal the details of the conjugation process, the amplitude and phase responses were calculated in
Figure 3d,e. For the amplitude case, only the information from the amplitude domain was considered in the calculation, and the gain of the error vector magnitude in amplitude (EVM|
Amp) was plotted in
Figure 3d. The larger PSR range from −7 dB to 11 dB was obtained for the amplitude only case. The best amplitude noise suppression happened at PSR= −1 dB where the best improvement of ΔEVM|
Amp = 5 dB compared to the input was obtained. The phase results, quantified by the EVM|
Pha, were depicted in
Figure 3e. Although the flatter response was obtained in the phase only case, a narrow PSR range from −1 dB to 10 dB was observed through the calculation. Therefore, the OPC in the XF case performs the conjugated conversion with the property of the signal regeneration in the selected operational region.
When the XF case happened by tuning the PCs in both the pump and the signal arms, the OPC product in YB case was naturally collected through port 3 of CIR1 because the PBS placed at the pump arm maintained the orthogonal states between two counter-propagating components. The optical spectrum depicted in
Figure 4a confirms the FWM process indeed happened, although in the backward direction the large phase-mismatching was expected. This physical phenomenon relaxes the requirement of the conventional FWM, which also performs the unique nonlinear response as follows.
Figure 4b gives the optical power of the conjugated vs. the input PSR. Two power plateau regions were obtained in this case. In the view of the signal regeneration, the amplitude noise could be suppressed at both regions. However, the higher PSR gives the better pattern-effect suppression in SOA. Therefore, the second plateau around PSR = 2 dB should perform with better conversion quality. The conjugated signal measured through SNR in
Figure 4c confirms the prediction, the best output SNR = 16.34 dB obtained at PSR = 2 dB. We also plot the constellations before and after the YB-OPC process. The amplitude noise suppression is obviously observed, which proves the OPC as well as the signal regeneration simultaneously happened. The amplitude and phase responses are depicted in
Figure 4d,e. Two amplitude-regeneration regions were obtained corresponding to the two plateaus. The most sufficient suppression was achieved at the second plateau, the best improvement of ΔEVM|
Amp = 1.6 dB was obtained in this region. The results from the phase response confirm that the lesser impact on the signal’s phase happened in the YB-OPC process in the PSR range of 17 dB.
Although the XF- and YB-OPC processes happened at the same time in the nonlinear bidirectional SOA, the FWM response and the OPC product are clearly different for both cases. The lesser OPC efficiency is obtained for the backward pump, i.e., YB-OPC, only −10.2 dBm maximum output power obtained compared to −3.1 dBm for the XF case. The different nonlinear response also leads to the different quality of the obtained conjugation. However, the OPC with the signal regeneration was demonstrated for both nonlinear processes.
2.2. OPC in Group Two: YF and XB Cases
We tuned PC1 and PC2 to investigate the OPC process for the YF and XB cases. For the YF-OPC, which was the co-propagating upper-arm pump and signal with y-polarization, we collected the optical spectrum of the FWM through port 3 of CIR2, depicted in
Figure 5a. The similar response including the OPC and the high-order FWM products was obtained as XF-OPC because of the polarization-insensitive SOA used in the simulation. This SOA demonstrates the polarization-insensitive performances not only on the optical amplification, but also for the nonlinear response. The single power plateau as well as the SNR improvement of 3.27 dB are the same as the XF-OPC case. The amplitude and phase responses of the conjugated depicted in
Figure 5d,e suggest the amplitude noise suppression with the property of the phase-preserving operation happened in the YF-OPC process, also similar to the XF-OPC.
Figure 6 depicts the simulation results for XB-OPC, which were collected from port 3 of CIR1. Two power plateau regions were obtained as the YB-OPC. However, the best performance was only achieved at the second plateau where PSR = 2 dB. The lesser amplitude noise suppression obtained in the XB-OPC only produced 1.59 dB for SNR gain and ΔEVM|
Amp = 1.6 dB, which suggests the signal quality improvement mainly happened in the amplitude domain. The nonlinear response from the XB-OPC case is also the same as the YB-OPC due to the polarization-insensitive property of the used SOA.
4. Discussion
For the OPC performance, the proposed nonlinear bidirectional SOA configuration not only generates more conjugated products from both the input and output ports, but also reduces the requirement of the PSR level. According to the investigation results, the PSR around 2 dB is high enough to perform the OPC function, which reduces 10 dB compared to the conventional single-pump scheme [
24]. The low PSR value allows more signal power to be launched into the SOA unit, consequently increasing the power level of the conjugated product. For the OPC applications, the high conversion efficiency helps to achieve better signal quality due to the higher OSNR.
For the regeneration behavior in the proposed OPC process, according to the simulation results about the nonlinear power responses for the four cases, the power plateau regions were observed, see
Figure 3b,
Figure 4b,
Figure 5b and
Figure 6b. Therefore, the amplitude noise suppression also happened when the signal’s amplitude fell into the plateau. This is the main reason why the amplitude regeneration could be achieved in the proposed OPC process. For the signal’s phase, the nonlinear OPC only preserves the initial phase information instead of performing the phase regeneration, which was confirmed by the simulation results in the phase responses of
Figure 3e,
Figure 4e,
Figure 5e and
Figure 6e. The different responses on the signal’s amplitude and phase lead to only amplitude noise suppression that happened in the OPC process, which is also called phase-preserving amplitude regeneration.
Although the amplitude regeneration could be achieved by both the forward and backward OPC processes, the different performances were observed, i.e., the maximal amplitude-noise suppression in the forward direction up to 5 dB compared to only 1.6 dB obtained in the backward direction. The diversity comes from the nonlinear power responses, as seen in the results in
Figure 3b and
Figure 4b. The plateau achieved in the forward direction is much wider than the backward direction, which leads to the higher noise-handling capability. Therefore, the better performance on the amplitude regeneration is achieved in the forward case.
It should be noted that the amplitude-noise suppression is only achieved at the plateau region. When the input power of the signal is away from the plateau, the conventional conjugation-conversion is demonstrated, just as the experimental results depicted in
Figure 8c and
Figure 9c. The details on the phase-preserving amplitude regeneration will be discussed in the following investigation.