3.1. The Variation of Refractive Index with Wavelength
To characterize the wavelength-dependent optical properties of the proposed fiber structure, we model the material dispersion using the Sellmeier equation. Specifically, the effective refractive indices of doped regions are calculated based on a molar-fraction-corrected interpolation formula, given by [
21]
where
is the refractive index of the base material (pure silica in this case),
is the refractive index of the doped material with doping molar fraction
, and
m is the doping level of the target composition. The refractive indices
and
are evaluated using the standard Sellmeier formula [
23]:
where
is the wavelength in microns, and
,
are the material-specific Sellmeier coefficients.
This interpolation method enables us to approximate the wavelength dependence of a weakly doped material from known data at a reference doping level. Accordingly, Equation (
1) can be rewritten in an equivalent form at an arbitrary wavelength
based on a reference wavelength
:
where
represents the wavelength-dependent index of a weakly doped region, derived from a known value at
.
Table 1 lists the Sellmeier coefficients used for pure silica, silica doped with 3.1% molar
, and silica doped with 1% molar F both at 20 °C [
23,
24]. These values were used to construct the wavelength-dependent index profiles for the proposed fiber and perform FEM simulations over a range of wavelengths.
3.2. Optimization Based on Genetic Algorithm
To overcome the experience dependence in the manual design process, a genetic algorithm (GA) was employed to automatically optimize the structural parameters of the fiber, including the enclosing core radius R, the radius of the low-index regions r, the refractive index ratios and , the spacing d between the low-index circles, and their center positions . The search space was carefully defined with lower and upper bounds of and , respectively. These limits ensured that the algorithm explored a wide yet physically feasible range of parameters, avoiding unrealistic geometries and maintaining fabrication compatibility.
The fitness function was defined as , where represents the minimum effective index difference among the first ten guided modes. This logarithmic formulation enhances sensitivity when is small, thus improving the convergence behavior of the optimization. An elitist strategy was employed throughout, guaranteeing that the best-performing individual in each generation was directly carried over to the next. The GA operated with a population size of 200 and was executed for 30 generations, providing a sufficient balance between exploration and convergence efficiency.
The optimization workflow, illustrated in
Figure 2, begins with the random generation of an initial population within the specified parameter bounds. For each candidate structure, the minimum
and the confinement loss (CL) of the first ten modes were calculated using a finite element method (FEM) mode solver. During evaluation, candidates were automatically filtered based on optical confinement performance: if any of the first ten modes exhibited excessive leakage, defined as CL exceeding 0.01 dB/km, both
and the fitness of that candidate were set to zero. This penalty mechanism effectively eliminated nonviable designs, ensuring that the optimization focused on structures exhibiting both strong mode confinement and sufficient inter-modal separation.
Through iterative selection, crossover, and mutation, the GA gradually refined the population, converging toward a configuration that maximized while maintaining low confinement loss. This automated approach thus replaced the conventional trial-and-error process with a systematic, data-driven optimization, significantly improving both design efficiency and performance robustness.
After evaluating all individuals in the current generation, the fitness values were normalized to derive the selection probability for each candidate. This probabilistic approach allows individuals with higher fitness to have a greater chance of being selected for reproduction while still maintaining population diversity through stochastic sampling. During the crossover operation, one parameter from a parent individual was randomly chosen and replaced by the corresponding parameter from another parent, which was selected according to the computed probability distribution. This mechanism enables efficient exchange of structural features between well-performing candidates, promoting the exploration of potentially superior parameter combinations. Similarly, during mutation, a single parameter in an individual was randomly reinitialized within its predefined bounds to introduce new genetic variation and prevent premature convergence to local optima. The elitist strategy was maintained throughout the process, ensuring that the best-performing individual from each generation was directly preserved in the next without modification, thereby guaranteeing monotonic improvement in the overall optimization performance.
Figure 3 illustrates the evolution of the minimum
of the best individuals as the optimization progressed under different crossover probability
and mutation probability
. The results clearly show that appropriate combinations of these two parameters significantly influence the convergence rate and the achievable performance. After 30 generations, the minimum
was successfully increased to
under the setting of
and
, corresponding to the optimal parameter set
. This result demonstrates the strong capability of the GA to effectively navigate the complex, high-dimensional design space and identify structures with enhanced modal separation.
Figure 4 presents the mode profiles and corresponding phase distributions of the ten guided polarization modes supported by the optimized fiber. Each eigenmode is clearly distinguishable by its distinct field localization pattern and phase periodicity, confirming the successful suppression of mode degeneracy and the preservation of high polarization purity. The orthogonality of the obtained vector modes further validates the structural symmetry and numerical stability of the optimized design.
In the following subsections, we analyze in detail the wavelength-dependent characteristics and structural robustness of the optimized fiber. These analyses provide a comprehensive understanding of the design’s performance across a broad spectral range and its tolerance to fabrication deviations, which are critical factors for practical implementation in space-division multiplexing systems.
3.3. Wavelength Characteristic
The wavelength-dependent effective refractive indices (
) and chromatic dispersion values of the supported modes were calculated using the FEM model described above. The results are presented in
Figure 5 and
Figure 6. To ensure numerical accuracy, the wavelength step size was set sufficiently small across the C+L band, and all calculations were carried out with adaptive mesh refinement until convergence of
was achieved within a tolerance of
. This procedure guarantees reliable evaluation of both modal dispersion and birefringence trends across the considered spectral range.
As shown, the minimum occurs between the two orthogonally polarized components of the mode. Across the entire C+L band (1530–1625 nm), this separation remains consistently above , indicating excellent modal isolation and confirming that the optimized structure maintains strong birefringence even under broadband operation. Such a large effectively suppresses polarization coupling induced by external perturbations such as bending or thermal fluctuations, which is a critical condition for stable polarization-maintaining and MIMO-free transmission. This feature ensures that the individual vector modes can propagate independently over practical distances without requiring complex digital post-processing at the receiver.
Regarding the dispersion characteristics, the calculated chromatic dispersion curves reveal smooth spectral variation for all guided modes, suggesting good structural uniformity and low phase distortion. The maximum chromatic dispersion is observed in the mode, reaching up to . This moderate dispersion level provides a favorable trade-off between pulse broadening and inter-symbol interference. For short-reach or intra-data-center applications, such dispersion is beneficial because it limits temporal spreading while maintaining manageable compensation requirements, enabling high symbol rates with simplified system design.
Overall, the combination of high modal discrimination, stable birefringence, and moderate dispersion highlights the strong suitability of the proposed fiber for short-reach space-division multiplexing links. The robust polarization and mode isolation allow for fully MIMO-free operation, substantially reducing digital signal processing complexity and power consumption. These advantages are particularly significant in scenarios such as intra-data-center interconnects, high-performance computing environments, and optical backplanes, where cost, footprint, and energy efficiency are critical design constraints.
3.4. Tolerance Analysis
To evaluate the fabrication tolerance of the proposed fiber design, we investigate how deviations in key structural parameters affect the modal characteristics, particularly
and the minimum
among the ten modes. The analysis considers perturbations in both the high-index guiding core and the low-index symmetry-breaking inclusions, with relative variations ranging from
to
. The results are summarized in
Figure 6,
Figure 7,
Figure 8 and
Figure 9. All simulations were performed using the same FEM configuration as in the optimization stage to ensure consistent numerical accuracy and enable direct comparison between nominal and perturbed structures.
We first examine variations in the relative error in refractive index ratio (
) and radius (
R) of the high-index core, denoted by
and
, respectively. As shown in
Figure 6 and
Figure 7, increasing
results in higher
values across all guided modes, which can be attributed to the stronger refractive index confinement and enhanced optical guiding capability. Conversely, reducing
weakens the refractive index contrast, thereby diminishing modal confinement and reducing the effective separation between neighboring modes. In particular, at
, the minimum
drops to
, with degeneracy observed between the two orthogonally polarized components of the
mode. This trend highlights that small inaccuracies in doping concentration or refractive index control during preform fabrication can directly influence birefringence and inter-modal discrimination.
A similar behavior is observed when varying the core radius
R, as depicted in
Figure 9 and
Figure 10. Increasing
slightly elevates the overall
values due to the enlarged core area and enhanced mode confinement. However, the minimum
exhibits a gradual decline with increasing
, reaching
at
. This degradation arises because larger cores reduce the strength of symmetry-breaking perturbations relative to the total guiding region, thereby allowing higher-order modes to overlap more strongly and approach degeneracy. The results imply that precise control of the core geometry, particularly the outer radius, is essential for maintaining high modal isolation in fabrication.
We further assess the influence of errors in the low-index perturbation structure that governs symmetry breaking.
Figure 11 and
Figure 12 illustrate the effect of refractive index ratio deviation
in the fluorine-doped regions. Owing to the relatively weak field penetration into these low-index inclusions,
remains nearly constant across the entire
range, indicating that the design is intrinsically tolerant to variations in dopant concentration or fluorine diffusion. This robustness is advantageous from a manufacturing perspective, as it relaxes the material control requirements and allows for stable performance even with minor index fluctuations introduced during chemical vapor deposition or diffusion processes.
Overall, the analysis demonstrates that the proposed fiber structure maintains excellent modal stability under moderate fabrication perturbations. The modal separation remains well above across all tested variations, confirming that the optimized design offers sufficient fabrication tolerance for practical realization. Such stability is particularly valuable for large-scale production, where small parameter deviations are inevitable yet performance consistency is crucial for reliable system deployment.
In contrast, the influence of radial deviation
of the low-index inclusions (
Figure 13 and
Figure 14) is considerably more pronounced. Since these fluorine-doped regions serve as critical geometric perturbations that lift mode degeneracy, even small variations in their dimensions can strongly alter the birefringence characteristics. The inclusions determine the local asymmetry of the refractive index distribution, thereby controlling the polarization splitting between otherwise degenerate higher-order modes. As
decreases, the perturbation strength diminishes, leading to weaker coupling asymmetry and reduced birefringence. When
, the minimum
falls below the critical threshold required for effective polarization separation, which severely compromises the fiber’s polarization-maintaining capability.
On the other hand, increasing beyond the nominal value enhances the local refractive index contrast and slightly strengthens birefringence, but excessive enlargement may lead to overlapping or merging of the low-index regions, thereby distorting the intended field confinement pattern. This can result in localized perturbations of the mode field, introducing unwanted coupling among nearby modes and slightly increasing confinement loss. Hence, the effect of is not purely monotonic: while moderate positive deviations can improve polarization discrimination, larger deviations introduce optical and fabrication penalties.
These results indicate that precise control of the radial dimension of the low-index inclusions is essential during fabrication. The tolerance window for is narrower than that for or , implying that structural deviations in these regions play a dominant role in maintaining stable birefringence. From a practical standpoint, this sensitivity underscores the importance of high-precision preform drilling or modified chemical vapor deposition (MCVD) control to ensure uniform feature size and symmetry. The analysis confirms that maintaining within is sufficient to preserve high modal discrimination, ensuring reliable polarization-maintaining performance in mass-produced fibers.
To better contextualize the performance of the proposed fiber design within the state of the art,
Table 2 provides a comprehensive comparison with several representative PM-FMF designs reported in the recent literature. The comparison highlights key performance metrics including the number of supported modes, minimum effective index difference, dispersion characteristics, and fabrication feasibility. This comparative framework emphasizes both the optical performance and the practicality of implementation, allowing a balanced assessment of the design trade-offs among different approaches.
Notably, the proposed design exhibits superior fabrication feasibility compared with the referenced structures. In particular, the formation of elliptical cladding structures—as employed in many conventional PM-FMF designs—poses significant challenges in maintaining precise geometric asymmetry throughout the drawing process. Achieving consistent elliptical profiles requires complex preform machining, fine control of surface tension during fiber pulling, and specialized pressure balancing techniques. These additional steps not only increase fabrication cost and complexity but also introduce higher risk of asymmetry loss and birefringence degradation during thermal processing. Consequently, yield and reproducibility often become limiting factors in large-scale production.
Ci et al.’s 10-hole configuration, though capable of achieving good modal discrimination, introduces additional complexity due to the presence of multiple air channels [
26]. The maintenance of uniform hole size and spacing requires precise control over internal gas pressure during drawing, and minor deviations can lead to structural collapse or nonuniform stress distributions. In contrast, the proposed design eliminates both air holes and elliptical geometries entirely, relying instead on circular fluorine-doped silica inclusions that can be seamlessly incorporated during the rod-in-tube (RIT) preform fabrication process. This approach avoids the need for pressure-assisted hole preservation or asymmetric drawing control and is fully compatible with standard modified chemical vapor deposition (MCVD) techniques. The simplicity of the geometry not only improves fabrication reproducibility but also enhances structural stability during fiber drawing, ensuring consistent birefringence and mode separation.
Moreover, the use of isotropic, circular low-index regions reduces the dependence on directional deformation, yielding a polarization-maintaining structure that is inherently more tolerant to thermal or mechanical perturbations. When combined with the demonstrated high modal separation (>), the proposed fiber achieves a superior balance between optical performance and manufacturability, making it a practical candidate for space-division multiplexing systems that require MIMO-free operation with low signal crosstalk.
In summary, the proposed fiber design demonstrates strong robustness against refractive index variations and moderate dimensional tolerances, as validated through the fabrication tolerance analysis. Nevertheless, precise control over the core radius and the geometry of the symmetry-breaking inclusions remains essential to sustain large modal spacing and stable polarization diversity. These results confirm that the proposed structure can be readily fabricated using existing MCVD and RIT processes without the need for specialized equipment, offering both high performance and scalable manufacturability—key factors for real-world deployment in advanced optical communication systems.