Comparative Analysis of Optical Multicarrier Modulations: An Insight into Machine Learning-based Multicarrier Modulation

Year 2021, Volume: 34 Issue: 4, 1016 - 1033, 01.12.2021

Augustus Ibhaze , Frederick Edeko , Patience Orukpe

https://doi.org/10.35378/gujs.774296

Cited By: 2

Abstract

The performances of various optical multicarrier modulation schemes have been investigated in this work by comparatively analyzing the bit error rate response relative to the signal to noise ratio metric. The machine learning-based multicarrier modulation (MLMM) approach was proposed and adopted as a method to improve the bit error rate response of the conventional schemes. The results showed performance enhancement as the proposed machine learning approach outperformed the conventional schemes. This proposition is therefore recommended for adoption in the implementation of optical multicarrier modulation-based solutions depending on the spectral and energy efficiency requirements of the intended application.

Keywords

Bit error rate, Machine learning, Multicarrier modulation, Signal to noise ratio

Supporting Institution

Petroleum Technology Development Fund (PTDF)

Project Number

P4567720076521527

Thanks

The authors gratefully acknowledge the sponsorship of this research by the Petroleum Technology Development Fund (PTDF) under the grant award number P4567720076521527.

References

• [1] Feng, S., Zhang, R., Xu, W. and Hanzo, L., "Multiple Access Design for Ultra-Dense VLC Networks: Orthogonal vs Non-Orthogonal," IEEE Transactions on Communications, 67(3): 2218 - 2231, (2019).
• [2] Agboje, O. E., Idowu-Bismark, O. B. and Ibhaze, A. E., "Comparative Analysis of Fast Fourier Transform and Discrete Wavelet Transform Based MIMO-OFDM," International Journal on Communications Antenna and Propagation (I.Re.C.A.P.), 7(2): 168 - 175, (2017).
• [3] Ndujiuba C. U. and Ibhaze, A. E., "Dynamic Differential Modulation of Sub-Carriers in OFDM," Journal of Wireless Networking and Communications, 6(1): 21-28, (2016).
• [4] Ibhaze, A. E., Orukpe, P. E. and Edeko, F. O., "Li-Fi Prospect in Internet of Things Network," in: J. Kacprzyk (Ed.), FICC2020, Advances in Intelligent Systems and Computing. Cham, Switzerland: Springer Nature Switzerland AG, 1129: 272–280, (2020).
• [5] Huang, X., Yang, F., Zhang, H., Ye, J. and Song, J., "Subcarrier and Power Allocations for Dimmable Ehanced ADO-OFDM with Iterative Interference Cancellation," IEEE Access, 7: 28422 - 28435, (2019).
• [6] Shannon, C. E., "A Mathematical Theory of Communication," The Bell System Technical Journal, 27(3, 4): 379–423, 623–656, (1948).
• [7] Ibhaze, A. E., Orukpe, P. E. and Edeko, F. O., "High Capacity Data Rate System: Review of Visible Light Communications Technology," Journal of Electronic Science and Technology, https://doi.org/10.1016/j.jnlest.2020.100055, (2020).
• [8] Cover T. M. and Thomas, J. A., Elements of Information Theory, 2nd ed. Hoboken, New Jersey: John Wiley & Sons, Inc., (2006).
• [9] Tan, J., Wang, Z., Wang, Q. and Dai, L., "BICM-ID scheme for clipped DCO-OFDM in visible light communications," Optics Express, 24(5): 4573 - 4581, (2016).
• [10] Richard van Nee et al., "New High-Rate Wireless LAN Standards," IEEE Communications Magazine, 37(12): 82 - 88, (1999).
• [11] Hu, W. W., "PAPR Reduction in DCO-OFDM Visible Light Communication Systems Using Optimized Odd and Even Sequences Combination," IEEE Photonics Journal, 11(1): 790115, (2019).
• [12] Proakis, J. G., Digital Communications, 4th ed.: McGrawHill, (2000).
• [13] Kahn, J. M. and Barry, J. R., "Wireless Infrared Communications," Proceedings of the IEEE, 85(2): 65 - 298, (1997).
• [14] Armstrong, J. "OFDM for optical communications," IEEE Journal of Light Wave Technology, 27(3): 189 - 204, (2009).
• [15] Devasmitha Dissanayake, S. and Armstrong, J. "Comparison of ACO-OFDM, DCO-OFDM and ADO-OFDM in IM/DD Systems," IEEE Journal of Lightwave Technology, 31(7): 1063 - 1072, (2013).
• [16] Chen, L., Krongold, B. and Evans, J. "Performance Analysis for Optical OFDM Transmission in Short-Range IM/DD Systems," IEEE Journal of Lightwave Technology, 30(7): 974 - 983, (2012).
• [17] Chung, S. T. and Goldsmith, A. J., "Degrees of Freedom in Adaptive Modulation: A Unified View," IEEE Transactions on Communications, 49(9): 1561 - 1571, (2001).
• [18] Fernando, N., Hong, Y. and Viterbo, E., "Flip-OFDM for Optical Wireless Communications," in IEEE Information Theory Workshop, Paraty, Brazil, 5 – 9, (2011).
• [19] Tsonev, D. and Haas, H., "Avoiding spectral efficiency loss in unipolar OFDM for optical wireless communication," in IEEE International Conference on Communications (ICC), Sydney, NSW, Australia, 3336 – 3341, (2014).
• [20] Wu, L., Zhang, Z., Dang, J., Wang, J. and Liu, H., "Polarity Information Coded Flip-OFDM for Intensity Modulation Systems," IEEE Communications Letters, 20(8): 1089 - 7798, (2016).
• [21] Castel, T. et al., "Adaptive subcarrier modulation for indoor public safety body-to-body networks," in IEEE 10th European Conference on Antennas and Propagation (EuCAP), Davos, Switzerland, 1-5, (2016).
• [22] Ibhaze, A. E., Orukpe P. E. and Edeko, F. O., "Visible Light Channel Modeling for High-data Transmission in the Oil and Gas Industry," Journal of Science and Technology, 12(2): 46-54, (2020).
• [23] Nachbaur, O., "White LED Power Supply Design Techniques," Texas Instruments Incorporated, Dallas, Texas, (2003).