Simple Fair Power Allocation for NOMA-Based Visible Light Communication Systems Using Fuzzy Order Homomorphism on L-Fuzzy Sets

International Journal of Electronics and Communication Engineering
© 2024 by SSRG - IJECE Journal
Volume 11 Issue 5
Year of Publication : 2024
Authors : Sheena. K.P, Umadevi. K
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How to Cite?

Sheena. K.P, Umadevi. K, "Simple Fair Power Allocation for NOMA-Based Visible Light Communication Systems Using Fuzzy Order Homomorphism on L-Fuzzy Sets," SSRG International Journal of Electronics and Communication Engineering, vol. 11,  no. 5, pp. 253-261, 2024. Crossref, https://doi.org/10.14445/23488549/IJECE-V11I5P124

Abstract:

VLC, or Visible Light Communication, is a practical high-data rate technology. A technique that looks effective in place of traditional transmission by Radio Frequency (RF). This energy-efficient, secure, and economical VLC method makes use of the current wireless data transmission infrastructure. However, the main barrier to building Light-Emitting Diode (LED) systems is the restricted control bandwidth of high-speed VLC systems, which collapses in the MHz range. Innovative field VLC system issues. In this work, we devised a broad summary of VLC systems centered on PD-NOMA. In the energy industry, NonOrthogonal Multiple Access, or NOMA, has been viewed as a potentially useful tactic to overcome the capacity constraint of the existing Visible Light Communication (VLC) system. The Distributed Power (PA) and high Signal-to-Noise Ratio (SNR) problems in the NOMA-VLC system are examined in this work. Numerous facets of the Fuzzy order homomorphism on an indefinitely distributive lattice have been studied in this study.  In a multi-user scenario, equitable distribution of transmission resources is ensured through the proposal of a Simple Fair Power Allocation (SFPA) approach. Because SFPA requires less Channel State Information (CSI), erroneous channel estimations are less likely to occur. The results show that, in the arrangement under consideration, more reasonable and equitable pricing per user is provided by NOMA with SFPA (up to 79.5% greater) without significantly compromising overall system performance.

Keywords:

Non-Orthogonal Multiple Access (NOMA), Fuzzy order homomorphism, λ-Level preserving fuzzy sets, Fair power allocation, Visible Light Communication (VLC).

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