研究目的
To support the data capacity demand for future 5G networks cost-effectively by exploring space-division multiplexing (SDM) and energy-efficient coherent detection, demonstrating the viability of using Long-Period Gratings in multi-core fibers for developing components and assessing digital signal processing algorithms for SDM systems.
研究成果
The paper demonstrates the viability of using LPGs in MCFs for developing pump couplers and selective switches, and presents HOPS-based DSP algorithms for effective space demultiplexing in SDM systems, highlighting advantages such as modulation format agnosticism and robustness to phase fluctuations. These findings support the application of SDM in 5G networks and data centers to address capacity demands.
研究不足
The study focuses on specific components and algorithms, potentially limited by fiber geometries and the need for further optimization in real-world scenarios with mechanical perturbations. Computational complexity of DSP algorithms may require trade-offs between performance and feasibility.
1：Experimental Design and Method Selection:
The study employs optical techniques using Long-Period Gratings (LPGs) in multi-core fibers (MCFs) for component development and digital signal processing (DSP) algorithms for space demultiplexing. Theoretical models include coupled mode method for power evolution analysis and higher-order Poincaré spheres (HOPS) representation for DSP.
2：Sample Selection and Data Sources:
Multi-core fibers with different geometries (e.g., ring geometry, heterogeneous MCFs) are used. Data is derived from simulations and experimental setups as referenced.
3：List of Experimental Equipment and Materials:
LPGs inscribed or induced by flexural acoustic waves in MCFs, pump sources, and signal transmission equipment for testing (e.g., for 200 Gb/s DP-16QAM signals).
4：Experimental Procedures and Operational Workflow:
Inscription of LPGs using techniques like arc electric method, application of flexural acoustic waves to induce gratings, power transfer measurements between cores, and performance testing of DSP algorithms using HOPS-based demultiplexing.
5：Data Analysis Methods:
Analysis of power evolution using coupled mode theory, assessment of signal-to-noise ratio (SNR) penalties, and evaluation of computational complexity and convergence of DSP algorithms.
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