Joint Optimization of Processing Complexity and Rate Allocation through Entropy Tunability for 64-/256-QAM Based Radio Fronthauling with LDPC and PAS-OFDM

Rui Zhang; You-Wei Chen; Shuyi Shen; Qi Zhou; Shuang Yao; S.-J. Su; Yahya Alfadhli; Gee-Kung Chang

doi:10.1364/OFC.2020.M2F.2

Optical Fiber Communication Conference (OFC) 2020
OSA Technical Digest (Optica Publishing Group, 2020),
paper M2F.2
•https://doi.org/10.1364/OFC.2020.M2F.2

Joint Optimization of Processing Complexity and Rate Allocation through Entropy Tunability for 64-/256-QAM Based Radio Fronthauling with LDPC and PAS-OFDM

Rui Zhang, You-Wei Chen, Shuyi Shen, Qi Zhou, Shuang Yao, S.-J. Su, Yahya Alfadhli, and Gee-Kung Chang

Optical Fiber Communication Conference 2020

San Diego, California United States
8–12 March 2020
ISBN: 978-1-943580-71-2

From the session
Digital Signal Processing and Radio-over-fiber Systems for 5G (M2F)

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R. Zhang, Y. Chen, S. Shen, Q. Zhou, S. Yao, S. -. Su, Y. Alfadhli, and G. Chang, "Joint Optimization of Processing Complexity and Rate Allocation through Entropy Tunability for 64-/256-QAM Based Radio Fronthauling with LDPC and PAS-OFDM," in Optical Fiber Communication Conference (OFC) 2020, OSA Technical Digest (Optica Publishing Group, 2020), paper M2F.2.

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Abstract

We experimentally demonstrate LDPC coded PAS-OFDM 64-/256-QAM signals in radio fronthauls. Through entropy allocation by adjusting the complexity and signal bandwidth, tunable power margins gain up to 3 dB and relaxed process latency are achieved.

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