Abstract
To improve the spectral efficiency (SE) of next-generation-fronthaul-interface-based (NGFI) mobile fronthaul (FH) network, we present a novel inter-band interference (IBI) cancellation method based on convolutional neural network (CNN) in non-orthogonal multiband CAP (NO-m-CAP) system. As a proof of concept demonstration, a NO-4-CAP 100Gb/s/ <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\lambda $ </tex-math></inline-formula> NGFI-II data transmission experiment is carried out, which shows 15% SE improvement with the proposed CNN-based IBI canceller assuming a 7% HD-FEC limit. Being more straightforward and practical, the proposed CNN-based IBI canceller with lower complexity could offer more power budget and promise more compression ratio compared to our previously proposed ICA-based (Independent Component Analysis) method.
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