Abstract

Radio frequency techniques have been deployed in the past time for wireless communication and following its spectral crunch and limited throughput, the visible light spectrum with enormously large bandwidth and potentials for high throughput is being investigated in this work. This study is aimed at investigating and modeling a signal conditioning scheme in the visible light spectrum in view of enhancing the throughput of the network. To effectively enhance communication throughput, a possible solution is to deploy multicarrier techniques. In this work, an adaptive Optimized Flipped Optical (OFO) OFDM is proposed for improved throughput using Lagrange Multiplier and Broyden Fletcher Goldfarb Shanno Algorithm (BFGSA). The Lagrange Multiplier technique was used to formulate the model for the optimization of the throughput constrained by the bit error rate (BER) and the total subcarrier transmit power whereas the BFGSA was used for the estimation of the approximation to the Hessian matrix for the computation of the optimal throughput value. Results showed improved spectral efficiency in favor of the proposed algorithm when compared with the conventional schemes. Further validations revealed the performance superiority of the proposed algorithm when compared with Castel, Wyglinski and Bedeer algorithms under comparable operating conditions for a given average signal to noise ratio (SNR).

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