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<p>This paper explores the use of space-division multiplexing passive optical networks (SDM-PONs), focusing on multi-core fibers (MCFs) and hybrid multi-core multimode fibers (MC-MMFs) as the core technologies. It investigates the distinct characteristics of TAMCF (Trench-Assisted Multi-Core Fibers), FMF (Few-Mode Fibers), and MC-MMF in the context of PONs, comparing their performance in terms of attenuation and optical loss. The paper proposes a novel SDM-PON architecture that utilizes TAMCF, FMF and MC-MMF without the need for multiple feed fibers, which reduces the overall system complexity and fiber costs. Additionally, this approach minimizes optical losses by using fibers with lower attenuation, offering a more efficient, cost-effective, and simpler solution for implementing SDM-PON systems. The proposed design significantly reduces the need for complex, high-cost components, making it a more viable option for large-scale deployments.</p>

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Cutting-edge space-division multiplexing using multi-core and multi core-multi-mode fibers in passive optical networks

  • 期刊论文

  • 发表日期：

    2025年2月2日

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  • Shivani Goyal,
  • Bhupinder Kaur,
  • Pardeep Kumar Jindal,
  • Hunny Pahuja

摘要

This paper explores the use of space-division multiplexing passive optical networks (SDM-PONs), focusing on multi-core fibers (MCFs) and hybrid multi-core multimode fibers (MC-MMFs) as the core technologies. It investigates the distinct characteristics of TAMCF (Trench-Assisted Multi-Core Fibers), FMF (Few-Mode Fibers), and MC-MMF in the context of PONs, comparing their performance in terms of attenuation and optical loss. The paper proposes a novel SDM-PON architecture that utilizes TAMCF, FMF and MC-MMF without the need for multiple feed fibers, which reduces the overall system complexity and fiber costs. Additionally, this approach minimizes optical losses by using fibers with lower attenuation, offering a more efficient, cost-effective, and simpler solution for implementing SDM-PON systems. The proposed design significantly reduces the need for complex, high-cost components, making it a more viable option for large-scale deployments.