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ShuChao Mi

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Proceedings Article | 15 December 2022 Paper

A low complexity large-scale MIMO detection algorithm for MDL-impaired fiber mode division multiplexing transmission

Shuchao Mi, Jianyong Zhang

Proceedings Volume 12478, 124780G (2022) https://doi.org/10.1117/12.2647800

KEYWORDS: Detection and tracking algorithms, Signal detection, Systems modeling, Signal to noise ratio, Multiplexing, Receivers, Interference (communication), Numerical simulations, Internet, Computer simulations

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Mode division multiplexing (MDM) technology enables multiple data signals to be transmitted over the same fiber channel, which is a potential method for increasing the capacity of optical communication systems. Primary impaired factor mode-dependent loss (MDL) poses fundamental capacity limitations, increases the hardware complexity of the receiver, and decreases the performance of the MIMO algorithm. In this work, the alternating direction method of multipliers with the threshold (ADMM-T) detection algorithm is proposed for MDL-impaired fiber links by exploiting the SINR distribution of minimum mean square error (MMSE) and alternating direction method of multipliers (ADMM). Since the post-processing SINR distribution of MMSE has high reliability in the high SINR symbols, the MMSE detected symbols above the pre-defined SINR thresholds are retained as part of the final detection result and the remaining lower-SINR symbols are to be iteratively detected by ADMM after successive interference cancellation (SIC). Computational complexity can be reduced by reserving the high SINR symbols as the final solution by MMSE. Simulation results demonstrate that the proposed ADMM-T detection algorithm outperforms MMSE, ADMM, and some recently proposed detection algorithms. Meanwhile, the computational complexity of the proposed detection algorithm is lower than that of the other detection algorithms.

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