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K-means Clustering based Multi-Dimensional Quantization Scheme for Digital Mobile Fronthaul

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Abstract

We propose to group highly-correlated neighboring samples into multi-dimensional vectors and adopt k-means clustering for quantization in mobile fronthaul. 30-Gbit/s transmissions have been experimentally demonstrated for up to 40 100MHz LTE channels over 20km fiber.

© 2018 The Author(s)

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