Dear Reader,

Dataset title:Dataset for On the Channel Capacity of Layered ACO-OFDM
Datset DOI: https://doi.org/10.5258/SOTON/D1380

* This is the dataset of the accepted paper (May, 2020):  X. Zhang, S. Chen and L. Hanzo, "On the Discrete-Input Continuous-Output Memoryless Channel Capacity of Layered ACO-OFDM".

* Paper Abstract:
Layered Asymmetrically Clipped Optical Orthogonal Frequency Division Multiplexing (LACO-OFDM) has been proposed for optical communications and has attracted much attention, thanks to its flexibility in terms of power vs. spectral efficiency.
In this paper, we propose algorithms for optimizing the Discrete-input Continuous-output Memoryless Channel (DCMC) capacity of LACO-OFDM.
Then, an algorithm is proposed for maximizing the capacity for twin-layer LACO-OFDM by optimizing the power sharing between the layers.
This is followed by the conception of a more general algorithm applicable to LACO-OFDM having an arbitrary number of layers.
Numerical results are provided for quantifying the capacity improvement attained by the proposed algorithm.
Moreover, an adaptive scheme is proposed for adjusting the number of layers to be used for maximizing the capacity at different SNRs.


* Acknowledgements:
L. Hanzo would like to acknowledge the financial support of the Engineering and Physical Sciences Research Council projects EP/P034284/1, EP/P034284/1, EP/P003990/1 (COALESCE), of the Royal Society's Global Challenges Research Fund Grant as well as of the European Research Council's Advanced Fellow Grant QuantCom.
The authors would like to thank the anonymous reviewers for their precious time, valuable comments and inspirational suggestions for improving the paper.


* This dataset contains the data used for producing Figures 8, 9, 10, 11, 12, 13 and 14 of the ACCEPTED paper "On the Discrete-Input Continuous-Output Memoryless Channel Capacity of Layered ACO-OFDM". Each folder is named according to the figure's number and the datasets - of each figure - are stored in the .dat files in that folder.

To regenerate the results please load the .dat files onto a data processing software, for example TikZ in LaTeX.

Licence: CC BY https://creativecommons.org/licenses/by/4.0/

Regards,
Colin (Dr Xiaoyu Zhang)
13 May 2020