Application of a Genetic Algorithm to Optimize the Performance of a Visible Light Communications System: Key Concepts and Preliminary Results
Pages 129 - 134
Abstract
Visible light communications is considered an important pillar technology of future 5G and beyond 5G networks. In this paper, we discuss the application of a genetic algorithm for optimizing the performance of a visible light communications link. We show how the parameters of the link pertinent to the transceiver design can be selected using a suitable mixed-integer genetic algorithm and the appropriate fitness function. We propose a suitable fitness function based on the achieved data rate and discuss how performance constraints related to the bit error rate can be incorporated in the optimization. For each candidate design, the fitness function can be calculated with an analytical model described in this work. Preliminary results indicate the proposed optimization scheme can indeed be used to design visible light communication systems achieving high spectral efficiency.
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Published In
September 2020
249 pages
ISBN:9781450388788
DOI:10.1145/3411408
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Published: 02 September 2020
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- Human Resources Development, Education and Lifelong Learning Operational Programme, Greece
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SETN 2020
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