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Direct-detection mode-division multiplexing in modal basis using phase retrieval.

Sercan Ö Arik, Joseph M Kahn

|September 16, 2016

Summary

This summary is machine-generated.

Mode-division multiplexing (MDM) boosts short-reach system capacity by using multiple modes. We show channel estimation for MIMO processing is a phase retrieval problem, with convex optimization outperforming other methods.

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Area of Science:

Optical communications
Signal processing

Background:

Mode-division multiplexing (MDM) enhances direct-detection short-reach system capacity by utilizing multiple spatial modes.
MDM necessitates multi-input multi-output (MIMO) signal processing to compensate for modal crosstalk.

Purpose of the Study:

To reframe channel estimation for MIMO processing in MDM systems as a phase retrieval problem.
To propose and evaluate novel techniques for efficient channel estimation in MDM systems.

Main Methods:

Formulating channel estimation as a phase retrieval problem.
Developing and comparing three estimation techniques: sparse training sequences, convex optimization (CO), and alternating minimization.
Demonstrating the effectiveness of the proposed methods through simulations or experiments.

Main Results:

Channel estimation in MDM-MIMO systems can be effectively treated as a phase retrieval problem.
Convex optimization (CO) demonstrates superior performance compared to sparse training sequences and alternating minimization for channel estimation.
The proposed techniques offer efficient solutions for compensating modal crosstalk in MDM systems.

Conclusions:

Phase retrieval offers a powerful framework for channel estimation in MDM systems.
Convex optimization is a highly effective technique for accurate channel estimation, enabling improved performance in MDM-based communication systems.
This work advances the practical implementation of high-capacity MDM short-reach systems.