Results 11 to 20 of about 259 (91)
Estimation of BER from Error Vector Magnitude for Optical Coherent Systems
This paper presents the estimation of bit error ratio (BER) from error vector magnitude (EVM) for M-ary quadrature amplitude modulation (QAM) formats in optical coherent systems employing carrier phase recovery with differential decoding to compensate ...
Irshaad Fatadin
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Power limits with adjustable 10G receiver parameters for A-RoF transmission
Current paper characterizes the performance of the three-radio-frequency-channels, orthogonal-frequency-division-multiplexed (OFDM) radio-over-fiber (RoF) transmission system in terms of error-vector-magnitude and received optical signal power for a ...
Inna Kurbatska +5 more
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Linear Regression vs. Deep Learning for Signal Quality Monitoring in Coherent Optical Systems
Error vector magnitude (EVM) is a metric for assessing the quality of m-ary quadrature amplitude modulation (mQAM) signals. Recently proposed deep learning techniques, e.g., feedforward neural networks (FFNNs) -based EVM estimation scheme leverage fast ...
Yuchuan Fan +11 more
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The realization and analysis of an implemented V-band six-port demodulator, operating over 60 GHz band, are presented in this paper. The performance of the design in real-time high-data-rate wireless data transmission is strongly proved using different ...
Mansoor Dashti Ardakani +1 more
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We present a dispersion-independent phase stabilized distribution architecture for broadband signal based on photonic microwave phase conjugation. RoF signals are distributed from the central station to each base station via a fiber ring network.
Tao Wang +6 more
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En este artículo se presenta el planteamiento de un sistema de comunicaciones óptico; partiendo desde el origen de la señal,generación de la modulación y el envío de datos por el canal.
Dionel Ropero-Torres +2 more
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Window-based UFMC technique for 5G systems
In this paper, we investigate the universal filtered multi-carrier system (UFMC) for 5G and subsequent connections with the aid of the MATLAB package. It can be considered that the UFMC technology provides an advantage against inter-symbol interference (
Safa N. Idi +2 more
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Residual Compensation-Based Extreme Learning Machine for MIMO-NOMA Receiver
Extreme learning machine (ELM) uses a simple machine learning (ML) architecture that allows its implementation for smart IoT network operations. However, some inaccuracy lies between the predicted and the actual data during the ELM training, which can be
M. Rezwanul Mahmood +4 more
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Optimal Design of Mobile Fronthaul Delta-Sigma Modulator based on Search Algorithm
The Common Public Radio Interface (CPRI) used in mobile fronthaul has low spectrum efficiency. In this paper, we propose to use Delta-Sigma Modulation (DSM) technology as a new fronthaul interface.
WU Zi-qiang +3 more
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Latency, error vector magnitude (EVM) and compression ratio (CR) are performance evaluation factors of IQ data compression. The purposes of IQ data compression are to minimize the latency, EVM and to maximize the CR.
Jewon Lee, Eunhee Hyun, Joon-Young Jung
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