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Article . 2021
License: CC BY NC
Data sources: Datacite
ZENODO
Article . 2021
License: CC BY NC
Data sources: Datacite
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Improving the Energy and Spectral Efficiency of LiFi Systems using Companding Techniques

Authors: Manal Ali; Hamada Esmaiel;

Improving the Energy and Spectral Efficiency of LiFi Systems using Companding Techniques

Abstract

A novel digital companding technique is proposed for light fidelity (LiFi) based on orthogonal frequency division multiplexing (OFDM). The technique builds on the principles of nonlinear companding. During this study, the performance of the two main companding transforms (μ-law, nonlinear exponential) are compared in terms of PSD with prismal shaped companding as well as BER of all of them. Orthogonal frequency division multiplexing (OFDM) signals suffer from the problem of a high peak-to-average power ratio (PAPR) that complicates the design of the analog front-end of the system which will be analyzed and improved. Simulation is done by using optimum parameters that achieve efficient PAPR reduction for each companding transform and BER also. Both PAPR and moderate performance degradation are critical challenges for a well-designed companding scheme. To obtain efficient PAPR reduction in OFDM systems, this paper proposes a new NCT scheme.

Keywords

Nonlinear Companding, LiFi, OFDM

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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