Adaptive Modulation Control in Visible-Light Communication Systems Based on a Joint Analysis of the Hurst Exponent and Local Estimation of the Signal-to-Noise Ratio Derivative. Part 1. Theoretical Foundations and Algorithm Development
https://doi.org/10.35596/1729-7648-2026-24-4-63-71
Abstract
An adaptive modulation control algorithm for visible-light communication systems is proposed. It utilizes a combined analysis of the Hurst exponent and a local estimate of the signal-to-noise ratio derivative. The algorithm utilizes asymmetric switching logic: modulation order upshifts are permitted only when the conditions of a positive local derivative estimate and high time series persistence are simultaneously met, while downshifts are performed immediately upon detection of a directional degradation. The algorithm’s threshold parameters are substantiated by analyzing speed-gain heat maps constructed for experimental scenarios. The proposed algorithm reduces the number of modulation order switches relative to the classical threshold method by 7.1 to 81.2%, depending on the channel dynamics.
About the Authors
A. SalauyouBelarus
Salauyou Aliaksei, Postgraduate of Information Radiotechnologies Department
220076, Minsk, F. Skoriny St., 8/2
S. Palavenia
Belarus
Palavenia S., Cand. Sci. (Tech.), Associate Professor, Dean of the Faculty of Telecommunications
Minsk
References
1. Komine T., Nakagawa M. (2004) Fundamental Analysis for Visible-Light Communication System Using LED Lights. IEEE Transactions on Consumer Electronics. 50 (1), 100–107. DOI: 10.1109/TCE.2004.1277847.
2. Chvojka P., Zvanovec S., Haigh P. A., Ghassemlooy Z. (2015) Channel Characteristics of Visible Light Communications Within Dynamic Indoor Environment. Journal of Lightwave Technology. 33 (9), 1719–1725. DOI: 10.1109/JLT.2015.2398894.
3. Palavenia S. I., Salauyou A. N., Karneeva A. F. (2024) Investigation of the Non-Line-of-Sight Atmospheric Data Transmission Channel. Problems of Infocommunications. (2), 63–70 (in Russian).
4. Goldsmith A. (2005) Wireless Communications. Cambridge, Cambridge University Press Publ. DOI: 10.1017/CBO9780511841224.
5. López-Benítez M. (2018) Performance Analysis of SNR Threshold-Setting Strategies for Adaptive Modulation and Coding Under Fading Channels. Physical Communication. 30, 154–166. DOI: 10.1016/j.phycom.2018.08.009.
6. Cho K., Yoon D. (2002) On the General BER Expression of One- and Two-Dimensional Amplitude Modulations. IEEE Transactions on Communications. 50 (7), 1074–1080. DOI: 10.1109/TCOMM.2002.800818.
7. Salauyou A. N. (2026) Analysis of Signal-to-Noise Ratio Dynamics in a Visible Light Communication Channel Using the Hurst Exponent. Problems of Infocommunications. (1) (in Russian).
8. Saxena V. N., Dwivedi V. K., Gupta J. (2023) Machine Learning in Visible Light Communication System: A Survey. Wireless Communications and Mobile Computing. 2023, 3950657. DOI: 10.1155/2023/3950657.
9. Leland W. E., Taqqu M. S., Willinger W., Wilson D. V. (1994) On the Self-Similar Nature of Ethernet Traffic (Extended Version). IEEE/ACM Transactions on Networking. 2 (1), 1–15. DOI: 10.1109/90.282603.
10. Hurst H. E. (1951) Long-Term Storage Capacity of Reservoirs. Transactions of the American Society of Civil Engineers. 116 (1), 770–799. DOI: 10.1061/TACEAT.0006518.
11. Salauyou A. N. (2026) Experimental System for the Investigation of a Visible Light Communication Channel Based on SDR. Technologies of Data Transmission and Processing, Materials of Intern. Scientific and Techn. Seminar. Minsk (in Russian).
12. Sklar B. (2016) Digital Communications: Fundamentals and Applications. Moscow, Williams Publ. (in Russian).
13. Lepikhin A. P., Perepelitsa D. I. (2016) On the Application of the Hurst Exponent (Coefficient) in Hydrology. Geographical Bulletin. (4), 36–44 (in Russian).
14. Anis A. A., Lloyd E. H. (1976) The Expected Value of the Adjusted Rescaled Hurst Range of Independent Normal Summands. Biometrika. 63 (1), 111–116.
15. Weron R. (2002) Estimating Long-Range Dependence: Finite Sample Properties and Confidence Intervals. Physica A: Statistical Mechanics and Its Applications. 312 (1), 285–299. DOI: 10.1016/S0378-4371(02)00961-5.
Review
For citations:
Salauyou A., Palavenia S. Adaptive Modulation Control in Visible-Light Communication Systems Based on a Joint Analysis of the Hurst Exponent and Local Estimation of the Signal-to-Noise Ratio Derivative. Part 1. Theoretical Foundations and Algorithm Development. Doklady BGUIR. 2026;24(4):63-71. (In Russ.) https://doi.org/10.35596/1729-7648-2026-24-4-63-71
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