4 research outputs found

    Evaluasi Penerapan Algoritma Neural Network Sebagai Teknik Reduksi PAPR Pada Sistem OFDM

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    Pada makalah ini dilakukan evaluasi kinerja algoritma Neural Network sebagai teknik reduksi sistem OFDM.  Hasil simulasi untuk sinyal OFDM dengan jumlah subcarrier sebanyak 64 dan modulasi 16 QAM menunjukkan penerapan algorima NN menghasilkan penurunan nilai PAPR sekitar 5,6 dB dari PAPR sinyal OFDM tanpa reduksi. Juga dibandingkan dengan teknik reduksi PAPR metode Iterative Clipping and Filtering, (ICF), Selective Mapping (SLM) dan Partial Transmit Sequence (PTS). Dari kurva CCDF juga ditunjukkan bahwa metode NN menghasilkan kinerja yang lebih baik dibanding metode digabungkan dengan teknik Iterative Clipping and Filtering, (ICF), Selective Mapping (SLM) dan Partial Transmit Sequence (PTS). Evaluasi di sisi penerima dengan pengamatan nilai bit error rate, penerapan algoritma NN memiliki kinerja yang terbai

    Visible Light Communication (VLC)

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    Visible light communication (VLC) using light-emitting diodes (LEDs) or laser diodes (LDs) has been envisioned as one of the key enabling technologies for 6G and Internet of Things (IoT) systems, owing to its appealing advantages, including abundant and unregulated spectrum resources, no electromagnetic interference (EMI) radiation and high security. However, despite its many advantages, VLC faces several technical challenges, such as the limited bandwidth and severe nonlinearity of opto-electronic devices, link blockage and user mobility. Therefore, significant efforts are needed from the global VLC community to develop VLC technology further. This Special Issue, “Visible Light Communication (VLC)”, provides an opportunity for global researchers to share their new ideas and cutting-edge techniques to address the above-mentioned challenges. The 16 papers published in this Special Issue represent the fascinating progress of VLC in various contexts, including general indoor and underwater scenarios, and the emerging application of machine learning/artificial intelligence (ML/AI) techniques in VLC

    GreenOFDM une nouvelle méthode de réduction de PAPR en OFDM : application à l’économie d’énergie de l’IoT

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    This work is devoted to the study of the OFDM modulation and more particularly to its high PAPR problem.A solution for the reduction of the PAPRs, called GreenOFDM, is proposed. Its performance is analyzed and compared with two other techniques available in the literature, the achieved performance of GreenOFDM is very promising. The computational complexity of this technique is analyzed in order to achieve an efficient implementation on a programmable processor. Two methods are proposed to reduce the total number of operations of the GreenOFDM technique; their performance is obtained by computer simulations. We show how it is possible to considerably reduce the number of operations and to obtain an efficient digital implementation. In fine, to demonstrate the efficiency, the energy cost of implementing GreenOFDM in a programmable processor is analyzed and compared to the energy consumption of the analog part of the transmitter. A comparison in terms of energy consumption with other modulation techniques is also carried out.Ce travail est consacré à l'étude de la modulation OFDM et plus particulièrement au problème de son PAPR élevé.Une solution pour la réduction de PAPR, appelée GreenOFDM, est proposée. Ses performances sont analysées et comparées avec d'autres techniques existantes dans la littérature, les résultats obtenus sont très prometteurs. La complexité calculatoire de cette technique est analysée en vue de sa mise en œuvre. Deux méthodes sont proposées pour réduire le nombre total d'opérations de la technique GreenOFDM ; leurs performances sont obtenues par simulation. Nous montrons comment il est possible de réduire considérablement le coût de calcul afin d'obtenir une implémentation numérique efficace. Enfin, pour démontrer cette efficacité, le coût énergétique de la mise en œuvre de GreenOFDM dans un processeur programmable est analysé et comparé à la consommation d'énergie de la partie analogique de l'émetteur. Une comparaison en termes de consommation d'énergie avec d'autres techniques de modulation est également menée à bien
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