Expanding-Window BATS Code With Intermediate Feedback

Xiang, Mian; Yi, Benshun; Qiu, Kang; Huang, Taiqi

doi:10.1109/lcomm.2018.2848660

Cited by 3 publications

(2 citation statements)

References 13 publications

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“…Xiang et al. [ 14 ] proposed the feedback expanding window BATS (FEW-BATS) code, which decreases average overhead of successful decoding in the less important packets (LIP) and has no effect on the decoding performance of the more important packets (MIP) by adding a single feedback on the basis of the EW-BATS code.…”

Section: Introductionmentioning

confidence: 99%

Weighted BATS Codes with LDPC Precoding

Zhang

Zhu

2023

Entropy

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Batched Sparse (BATS) codes are a type of network coding scheme that use a combination of random linear network coding (RLNC) and fountain coding to enhance the reliability and efficiency of data transmission. In order to achieve unequal error protection for different data, researchers have proposed unequal error protection BATS (UEP-BATS) codes. However, current UEP-BATS codes suffer from high error floors in their decoding performance, which restricts their practical applications. To address this issue, we propose a novel UEP-BATS code scheme that employs a precoding stage prior to the weighted BATS code. The proposed precoding stage utilizes a partially regular low-density parity-check (PR-LDPC) code, which helps to mitigate the high error floors in the weighted BATS code We derive the asymptotic performance of the proposed scheme based on density evolution (DE). Additionally, we propose a searching algorithm to optimize precoding degree distribution within the complexity range of the precoding stage. Simulation results show that compared to the conventional weighted BATS codes, our proposed scheme offers superior UEP performance and lower error floor, which verifies the effectiveness of our scheme.

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Section: Introductionmentioning

confidence: 99%

Weighted BATS Codes with LDPC Precoding

Zhang

Zhu

2023

Entropy

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“…Since BATS codes have negligible transmission overhead, various network transmission protocols have been proposed in [6]. Feedback expanding window BATS codes have been proposed to decrease decoding overhead of less important packets with no effect to more important packets in [7].…”

Section: Introductionmentioning

confidence: 99%

Optimised design and tree analysis of regularised variable‐node BATS codes

Xiang

Tan

et al. 2020

Electron. lett.

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In this Letter, the authors investigate a modified encoding scheme of batched sparse (BATS) codes to improve the erasure floor performance. In the proposed regularised variable-node (RBATS) codes, variable-node degrees are regularised to maximise the minimum degree for transmission. The asymptotical decoding performance of RBATS codes is analysed by a tree-based analysis. Furthermore, they optimise check-node degree distribution of RBATS codes to decrease decoding overhead according to the decoding condition. It is demonstrated through simulation results that the optimised RBATS codes can not only lower the transmission overhead but also improve erasure floor performance compared with traditional BATS codes.

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