How to Compute MI


Alternatively, please see the matlab code available in Tobias Fehenberger’s home page (under “Source Code”). His code uses a mismatched decoding approach and works for any input distribution.

For more details, see:

[R1] L. Szczecinski, A. Alvarado, “Bit-Interleaved Coded Modulation: Fundamentals, Analysis and Design,” John Wiley & Sons, ISBN: 978-0-470-68617-1, January 2015.
[R2] A. Alvarado, and E. Agrell, “Four-Dimensional Coded Modulation with Bit-wise Decoders for Future Optical Communications“, J. Lightw. Technol., vol. 33, no. 10, pp. 1993–2003, May 2015.
[R3] A. Alvarado, E. Agrell, D. Lavery, R. Maher, and P. Bayvel, “Replacing the Soft FEC Limit Paradigm in the Design of Optical Communication Systems“, J. Lightw. Technol., 2015.
[R4] Tobias Fehenberger, Alex Alvarado, Polina Bayvel, Norbert Hanik, “On Achievable Rates for Long-Haul Fiber-Optic Communications,” Opt. Express,  vol. 23, no. 7, pp. 9183-9191, Apr. 2015.

Please note that the expressions in Sec. III-D of [R3] are valid only if the constellation is normalized to unit energy. We erroneously claimed in Sec. III-D of [R3] that those expressions are valid for any average symbol energy.

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