Design and Analysis of LT Codes With a Reverse Coding Framework

Song, Xin; Cheng, Naiping; Liao, Yurong; Ni, Shuyan; Lei, Tuofeng

doi:10.1109/access.2021.3105002

Cited by 4 publications

(2 citation statements)

References 31 publications

(39 reference statements)

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“…Degree distribution is used to form LT codes such that the decoder can recover the original data from the slightly more coded symbols with high probability [11,12]. In order to recover the original data from the encoding symbols, the decoder needs to know the degree and the source symbols that form the set of neighbors of each encoding symbol [13].…”

Section: Lt Encoding and Decodingmentioning

confidence: 99%

Enhanced Distributed Storage System Using Lower Triangular Matrix-Luby Transform Codes

Ignatius¹,

Selvakumar²

2022

Intelligent Automation &Amp; Soft Computing

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In today's digital environment, large volume of digital data is created daily and this data accumulates to unforeseen levels. Industries are finding it increasingly difficult to store data in an effective and trustworthy manner. Distributed storage appears to be the greatest approach for meeting current data storage demands at the moment. Furthermore, due to disc crashes or failures, efficient data recovery is becoming an issue. At present, new data storage techniques are required in order to restore data effectively even if some discs or servers are crashed. Hence, this proposed work aims to improve the storage efficiency and reliability in distributed storage systems (DSSs) to withstand disk failures and data erasures by modifying the degree distribution of Luby Transform (LT) codes. Recently, deriving an optimal degree distribution in LT codes becomes an upcoming research field. Hence, in this work, a novel approach called Lower Triangular Matrix (LTM) based degree distribution is presented for LT encoding. Unlike the traditional schemes such as Robust Soliton Distribution (RSD), there is no need for transmitting the neighbor symbols information along with each and every encoded symbol using LTM-LT codes which results in an efficient utilization of the bandwidth. Further, the overhead of LTM encoder is reduced by performing only one XOR operation for the generation of every new encoded symbol. The performance of LTM-LT codes is evaluated in terms of varying data erasure and disk failure conditions. Simulation results show that the proposed LTM-LT codes perform better compared to the traditional schemes such as RSD used for LT codes in Distributed Storage System.

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Section: Lt Encoding and Decodingmentioning

confidence: 99%

Enhanced Distributed Storage System Using Lower Triangular Matrix-Luby Transform Codes

Ignatius¹,

Selvakumar²

2022

Intelligent Automation &Amp; Soft Computing

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“…In other words, fountain codes can work in the absence of a feedback channel, even in nasty channels [8][9][10]. Such codes work on erasure channels such as binary erasure channels (BECs) [9,11,12], as well as noisy channels such as AWGN channels [13][14][15] and fading channels [16,17].…”

Section: R S1 S2mentioning

confidence: 99%

Memory-Based LT Codes for Efficient 5G Networks and Beyond

Hayajneh

2021

Electronics

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The next-generation networks (5G and beyond) require robust channel codes to support their high specifications, such as low latency, low complexity, significant coding gain, and flexibility. In this paper, we propose using a fountain code as a promising solution to 5G and 6G networks, and then we propose using a modified version of the fountain codes (Luby transform codes) over a network topology (Y-network) that is relevant in the context of the 5G networks. In such a network, the user can be connected to two different cells at the same time. In addition, the paper presents the necessary techniques for analyzing the system and shows that the proposed scheme enhances the system performance in terms of decoding success probability, error probability, and code rate (or overhead). Furthermore, the analyses in this paper allow us to quantify the trade-off between overhead, on the one hand, and the decoding success probability and error probability, on the other hand. Finally, based on the analytical approach and numerical results, our simulation results demonstrate that the proposed scheme achieves better performance than the regular LT codes and the other schemes in the literature.

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A Novel Model for Large-Scale Online College Learning in Postpandemic Era: AI-Driven Approach

Wang

2021

Mobile Information Systems

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COVID-19 is a pandemic with a wide reach and explosive magnitude, and the world has been bracing itself for impact. Many have lost their jobs and savings, and many are homeless. For better or worse, COVID-19 has permanently changed our lives. For college students, the pandemic means giving up most of the on-campus experience in the postpandemic era and performing online learning instead. Virtual lessons may become a permanent part of college education. Large-scale online learning typically utilizes interactive live video streaming. In this study, we analyzed a codec and video streaming transmission protocol using artificial intelligence. First, we studied an intraframe prediction optimization algorithm for the H.266 codec based on long short-term memory networks. In terms of video streaming transmission protocols, real-time communication optimization based on Quick UDP Internet connections and Luby Transform codes is proposed to improve the quality of interactive live video streaming. Experimental results demonstrate that the proposed strategy outperforms three benchmarks in terms of video streaming quality, video streaming latency, and average throughput.

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Design and Analysis of LT Codes With a Reverse Coding Framework

Cited by 4 publications

References 31 publications

Enhanced Distributed Storage System Using Lower Triangular Matrix-Luby Transform Codes

Enhanced Distributed Storage System Using Lower Triangular Matrix-Luby Transform Codes

Memory-Based LT Codes for Efficient 5G Networks and Beyond

A Novel Model for Large-Scale Online College Learning in Postpandemic Era: AI-Driven Approach

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