A Survey on Channel Coding in Wireless Networks

Venugopal, T.; Radhika, S.

doi:10.1109/iccsp48568.2020.9182213

Cited by 12 publications

(6 citation statements)

References 23 publications

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“…Both hard and soft decoding are possible on receiver side, although Viterbi soft decoding is typically used. [43] Fountain codes Performance close to Shannon limit.…”

Section: F Summary Of Signal-design Considerationsmentioning

confidence: 99%

Position, Navigation, and Timing (PNT) Through Low Earth Orbit (LEO) Satellites: A Survey on Current Status, Challenges, and Opportunities

et al. 2022

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More and more satellites are populating the sky nowadays in the Low Earth orbits (LEO). Most of the targeted applications are related to broadband and narrowband communications, Earth observation, synthetic aperture radar, and internet-of-Things (IoT) connectivity. In addition to these targeted applications, there is yet-to-be-harnessed potential for LEO and positioning, navigation, and timing (PNT) systems, or what is nowadays referred to as LEO-PNT. No commercial LEO-PNT solutions currently exist and there is no unified research on LEO-PNT concepts. Our survey aims to fill the gaps in knowledge regarding what a LEO-PNT system entails, its technical design steps and challenges, what physical layer parameters are viable solutions, what tools can be used for a LEO-PNT design (e.g., optimisation steps, hardware and software simulators, etc.), the existing models of wireless channels for satellite-toground and ground-to-satellite propagation, and the commercial prospects of a future LEO-PNT system. A comprehensive and multidisciplinary survey is provided by a team of authors with complementary expertise in wireless communications, signal processing, navigation and tracking, physics, machine learning, Earth observation, remote sensing, digital economy, and business models.

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“…Both hard and soft decoding are possible on receiver side, although Viterbi soft decoding is typically used. [43] Fountain codes Performance close to Shannon limit.…”

Section: F Summary Of Signal-design Considerationsmentioning

confidence: 99%

Position, Navigation, and Timing (PNT) Through Low Earth Orbit (LEO) Satellites: A Survey on Current Status, Challenges, and Opportunities

et al. 2022

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“…The proposed concatenated codes use parallel branches of BCH, which enhances the performance compared to the standard concatenated codes. It is efficient to use convolutional code concatenated with parallel branches of BCH code to improve the performance in the error floor region, Figure 3 shows the serial concatenated code based on hard decision [27]. There are three different BCH are used in this study to reduce the parity bits and reduce the consumed bandwidth.…”

Section: Methodsmentioning

confidence: 99%

Improving bit error-rate based on adaptive Bose-Chaudhuri Hocquenghem concatenated with convolutional codes

Abdelshafy.

Hassan²,

Zakaria³

2021

IJEECS

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Several algorithms have been proposed to avoid the error floor region, such as the concatenation codes that requires high computational demands in addition to high complexity. This paper proposes a technique based on using cascaded BCH and convolutional codes that leads to better error correction performance. Moreover, an adaptive method based on sensing the channel's noise to determine the number of the parity bits that will be added to the used BCH that reduces the consumed bandwidth and the transmitted parity bits is presented. A further enhancement is fulfilled by using parallel processing branches, resulting in reducing the consumed time and speed up the performance. The results show that the proposed code presents a better performance. A high reduction in the number of cycles that will be used in the encoding and decoding compared with the classical method and finally a flexible parity bits method based on the signal-to-noise ratio of the channel that reduced the parity bits which leads to reduce the consumed bandwidth. The MATLAB simulation and the field programmable gate array (FPGA) implementation will be provided in this paper to validate the proposed concept.

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“…Reed-Solomon (RS) encoding, based on finite field arithmetic, is a type of errorcorrecting code widely used in data communications and storage systems, such as CDs, wireless communications, and data center storage. It can correct or recover errors caused by noise, data corruption, or loss [29]. In RS encoding, given k data blocks D = (D 1 , D 2 , .…”

Section: Cauchy Reed-solomon Codesmentioning

confidence: 99%

Symmetrical Data Recovery: FPGA-Based Multi-Dimensional Elastic Recovery Acceleration for Multiple Block Failures in Ceph Systems

Lei,

Wang,

Chen

et al. 2024

Symmetry

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In the realm of Ceph distributed storage systems, ensuring swift and symmetrical data recovery during severe data corruption scenarios is pivotal for data reliability and system stability. This paper introduces an innovative FPGA-based Multi-Dimensional Elastic Recovery Acceleration method, termed AMDER-Ceph. Utilizing FPGA technology, this method is a pioneer in accelerating erasure code data recovery within such systems symmetrically. By harnessing the parallel computing power of FPGAs and optimizing Cauchy matrix binary operations, AMDER-Ceph significantly enhances data recovery speed and efficiency symmetrically. Our evaluations in real-world Ceph environments show that AMDER-Ceph achieves up to 4.84 times faster performance compared with traditional methods, especially evident in the standard 4 MB block size configurations of Ceph systems.

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A Survey on Channel Coding in Wireless Networks

Cited by 12 publications

References 23 publications

Position, Navigation, and Timing (PNT) Through Low Earth Orbit (LEO) Satellites: A Survey on Current Status, Challenges, and Opportunities

Position, Navigation, and Timing (PNT) Through Low Earth Orbit (LEO) Satellites: A Survey on Current Status, Challenges, and Opportunities

Improving bit error-rate based on adaptive Bose-Chaudhuri Hocquenghem concatenated with convolutional codes

Symmetrical Data Recovery: FPGA-Based Multi-Dimensional Elastic Recovery Acceleration for Multiple Block Failures in Ceph Systems

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