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Updated: Sep 11, 2025

Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping
Published on: March 20, 2017
Iterative intelligence for non-orthogonal signal recovery in spectrally efficient optical fiber transmission
Abstract:
Non-orthogonal signals, such as spectrally efficient frequency division multiplexing (SEFDM), enable spectral overlap, increasing bandwidth efficiency compared to orthogonal systems like orthogonal FDM (OFDM). SEFDM benefits long-haul optical fiber transmission by enhancing spectral efficiency, reducing nonlinear interference effects, and lowering power requirements. However, its detection is challenging, with maximum likelihood (ML) detection offering optimal performance but at high complexity. Iterative detectors mitigate interference efficiently and, when unfolded, resemble neural networks (NN). This work explores hybrid NN and iterative detectors, introducing Unfolding-Learn and Unfolding-Tune architectures. Results demonstrate significant performance gains, with Unfolding-Tune achieving 1.5 dB power improvement and 25% higher spectral efficiency over traditional systems.
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