Generation of multiple signals using single photonic structure at visible regime: a proposal to realize the harmonic generation

Boobalan, S.; Das, Subhankar; Pandi, V. Samuthira; Swain, K. P.; Palai, G.

doi:10.1007/s11082-021-03090-9

Cited by 14 publications

(3 citation statements)

References 17 publications

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“…It emphasizes the benefits of this consensus, such as trustless and transparent systems, solving data silo issues, creating incentive mechanisms, and enabling diverse IoT applications. In this line, [14][15] and [16][17] also present insights into the potential of federated consensus for improving the efficiency and sustainability of manufacturing and healthcare industries.…”

Section: Related Workmentioning

confidence: 99%

A Federated Consensus for Proof of Authority in IoT-Blockchain Applications

Selvakumar,

Shibu,

Joy

et al. 2023

IJRITCC

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The growing adoption of Internet of Things (IoT) devices and the need for secure and scalable blockchain applications pose significant challenges in the realm of consensus protocols. This paper proposes a novel consensus mechanism called Federated Consensus for Proof of Authority (Fed-PoA), which combines the advantages of Proof of Authority (PoA) and federated learning to achieve secure and scalable IoT-Blockchain applications. The Fed-PoA ensures efficient data sharing, privacy preservation, and decentralized operation. Performance evaluation of this model in a simulated environment demonstrates superior convergence and memory usage compared to a representative work in this context.

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Section: Related Workmentioning

confidence: 99%

A Federated Consensus for Proof of Authority in IoT-Blockchain Applications

Selvakumar,

Shibu,

Joy

et al. 2023

IJRITCC

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“…Offloading tasks to more powerful external computational resources, such as edge or cloud servers, can significantly reduce the computational burden on local devices, thereby decreasing latency and conserving battery life. As the next evolutionary step, 6G promises even higher data rates and lower latencies but will also bring forth more computationally intensive applications (Boobalan S. et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Dynamic resource management for 6G vehicular networks: CORA-6G offloading and allocation strategies

Porselvi,

Kanchana,

Jackson

et al. 2024

The Scientific Temper

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Given the burgeoning demands of real-time applications and limited on-board computational resources, the rapid proliferation of 6G-enabled vehicular networks brings forth the critical challenge of efficient computation offloading. This paper introduces the CORA-6G algorithm, a novel solution specifically designed to address this issue by determining the optimal offloading ratio. Using a robust convex optimization problem, CORA-6G maximizes the computational utility, ensuring efficient resource allocation and enhanced responsiveness. Quantitative evaluations reveal that, when compared to conventional methods, CORA-6G improves offloading efficiency by up to 25%, thereby significantly boosting the overall performance of vehicular applications. This research underscores the potential of CORA-6G as a cornerstone for future 6G vehicular network advancements.

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“…An adaptive equalizer is a type of linear filter that can be used to model the channel's inverse transfer function. There are two well-known algorithms for this type of computation: the Least mean squares (LMS) [11] and Recursive Least Squares (RLS) [12] algorithm. Although the RLS algorithm is faster than the LMS algorithm when it comes to computation speed, its complexity can be very high when implementing hardware.…”

Section: Introductionmentioning

confidence: 99%

Performance Analysis of Adaptive Equalizers Over Multipath Faded Channels: Error Vector Magnitudes

Annapurna H. S

2023

IJRITCC

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Due to the increasing popularity of digital transmission systems, the need for channel equalizers has been acknowledged. These techniques are designed to counteract the effects of the inter-symbol interference (ISI) caused by the communication channels. An adaptive equalizer is used to operate on the output of a channel in order to provide an approximation of the transmission medium. An adaptive equalizer usually requires a training period to operate successfully. This method eliminates the effects of the wireless transmission channel and allows the subsequent symbol modulation. The paper presents an overview of the various adaptive equalizers, such as the least mean squares (LMS), decision feedback equalizers (DFE), and the Recursive least squares (RLS). It also explores their performance in terms of error vector magnitudes (EVM) over Rician and Rayleigh channels. The paper looks into the effects of adaptive equalizers on various digital modulation techniques for rectangular quadrature phase shift, amplitude modulation, such as the BPSK, QPSK, 4-QAM, 16-QAM, 64-QAM and 256-QAM. These modulations are analysed and measured in terms of symbol error rates and number of incorrect symbols.

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Generation of multiple signals using single photonic structure at visible regime: a proposal to realize the harmonic generation

Cited by 14 publications

References 17 publications

A Federated Consensus for Proof of Authority in IoT-Blockchain Applications

A Federated Consensus for Proof of Authority in IoT-Blockchain Applications

Dynamic resource management for 6G vehicular networks: CORA-6G offloading and allocation strategies

Performance Analysis of Adaptive Equalizers Over Multipath Faded Channels: Error Vector Magnitudes

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