A Non-Linear Improved CNN Equalizer with Batch Gradient Decent In 5G Wireless Optical Communication

Mathews, Asish B; Mathews, Arun B.; Kumar, C. Agees

doi:10.1080/03772063.2022.2163930

Cited by 3 publications

(2 citation statements)

References 31 publications

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“…В системах 5G нелинейные искажения могут возникать в цепях передатчика или приемника из-за множества факторов и влиять на характеристики передаваемого сигнала [12]. В контексте FBMC нелинейные искажения могут вызывать интермодуляционные искажения, когда передаваемые сигналы смешиваются друг с другом и генерируют дополнительные нежелательные частоты, что приводит к возрастанию уровня помех между поднесущими.…”

Section: межлучевые помехиunclassified

Impacts of noise and interference on the bit error rate of the FBMC-OQAM modulation scheme in 5G systems

Androon,

Tikhonova

2024

Rossijskij tehnologičeskij žurnal

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Objectives. The work sets out to evaluate the noise immunity of the signal modulation method in 5G networks using a filter bank multicarrier with offset quadrature amplitude modulation (FBMC-OQAM) and to analyze the bit error rate (BER).Methods. In the work, probability theory and mathematical statistics methods are applied according to computer modeling approaches.Results. An analysis of BER for the signal modulation method in 5G networks, which uses a bank of filters with multiple carriers with offset quadrature amplitude modulation under noise conditions, is presented. The resistance of the method to intra-cell, inter-cell, and inter-beam types of interference in the 5G channel, as well as additive white Gaussian noise, is investigated. The graphical and numerical data obtained through computer modeling demonstrates improved BER in 5G networks using FBMC-OQAM. The presented comparative analysis of error probability in the FBMC-OQAM system under various types of noise and interference emphasizes the impact of these factors on the quality of information transmission.Conclusions. The FBMC-OQAM method is characterized by the low impact on the error probability of the data transmission system in 5G networks of various types of interference including intra-cell and inter-cell interference, inter-beam interference, and nonlinear distortions. However, it will be necessary to further optimize the method and develop algorithms for enhancing error probability in the FBMC-OQAM system under real conditions in 5G networks. The research results can be used in the development of 5G networks.

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Section: межлучевые помехиunclassified

Impacts of noise and interference on the bit error rate of the FBMC-OQAM modulation scheme in 5G systems

Androon,

Tikhonova

2024

Rossijskij tehnologičeskij žurnal

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“…Deep learning approaches involve training neural networks to learn the mapping between the received signal and the desired signal [ 45 ]. In the context of adaptive equalization, deep neural networks can model the complex and nonlinear relationship between the input signal and the equalized output [ 46 ]. By utilizing large amounts of training data and employing sophisticated network architectures, deep learning techniques can adapt to a wide range of channel characteristics and achieve superior equalization performance [ 47 , 48 ].…”

Section: Techniques Used For Adaptive Equalizationmentioning

confidence: 99%

Adaptive Filtering: Issues, Challenges, and Best-Fit Solutions Using Particle Swarm Optimization Variants

Khan,

Shafi,

Khawaja

et al. 2023

Sensors

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Adaptive equalization is crucial in mitigating distortions and compensating for frequency response variations in communication systems. It aims to enhance signal quality by adjusting the characteristics of the received signal. Particle swarm optimization (PSO) algorithms have shown promise in optimizing the tap weights of the equalizer. However, there is a need to enhance the optimization capabilities of PSO further to improve the equalization performance. This paper provides a comprehensive study of the issues and challenges of adaptive filtering by comparing different variants of PSO and analyzing the performance by combining PSO with other optimization algorithms to achieve better convergence, accuracy, and adaptability. Traditional PSO algorithms often suffer from high computational complexity and slow convergence rates, limiting their effectiveness in solving complex optimization problems. To address these limitations, this paper proposes a set of techniques aimed at reducing the complexity and accelerating the convergence of PSO.

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Multitone Upconverted Phase-Modulated Signal RoF Link for 6G & Next-Generation Networks

Tyagi,

Mittal,

Kumar

2024

IETE Journal of Research

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A Non-Linear Improved CNN Equalizer with Batch Gradient Decent In 5G Wireless Optical Communication

Cited by 3 publications

References 31 publications

Impacts of noise and interference on the bit error rate of the FBMC-OQAM modulation scheme in 5G systems

Impacts of noise and interference on the bit error rate of the FBMC-OQAM modulation scheme in 5G systems

Adaptive Filtering: Issues, Challenges, and Best-Fit Solutions Using Particle Swarm Optimization Variants

Multitone Upconverted Phase-Modulated Signal RoF Link for 6G & Next-Generation Networks

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