Online Fountain Codes With Unequal Recovery Time

Cai, Peixiang; Chen, Pan; Song, Jian

doi:10.1109/lcomm.2019.2915670

Cited by 9 publications

(5 citation statements)

References 12 publications

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“…Fountain codes also display superior performance in data storage [82] and data distribution [83] scenarios. In addition, for scenarios where data such as video multicast applications [84,85] have different priorities, fountain codes with unequal error protection have also been proposed.…”

Section: Fountain Codementioning

confidence: 99%

Intelligent cognitive spectrum collaboration: Convergence of spectrum sensing, spectrum access, and coding technology

Cai

2020

Intell. and Converged Netw.

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For a future scenario where everything is connected, cognitive technology can be used for spectrum sensing and access, and emerging coding technologies can be used to address the erasure of packets caused by dynamic spectrum access and realize cognitive spectrum collaboration among users in mass connection scenarios. Machine learning technologies are being increasingly used in the implementation of smart networks. In this paper, after an overview of several key technologies in the cognitive spectrum collaboration, a joint optimization algorithm of dynamic spectrum access and coding is proposed and implemented using reinforcement learning, and the effectiveness of the algorithm is verified by simulations, thus providing a feasible research direction for the realization of cognitive spectrum collaboration.

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Section: Fountain Codementioning

confidence: 99%

Intelligent cognitive spectrum collaboration: Convergence of spectrum sensing, spectrum access, and coding technology

Cai

2020

Intell. and Converged Netw.

Self Cite

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“…According to the literature [18], this fountain coding scheme can achieve a high intermediate decoding rate by using feedback information to predict the decoder state and dynamically adjusting the non-uniform symbol selection distribution. The literature [19,20] suggested modifying the LT code degree-1 and Online Fountain Codes without a build-up phase, respectively, by modifying the quantity of degree-1 coded symbols, doing away with the stacking phase, enhancing Belief Propagation (BP) decoding performance, and making sure that the received coded symbols are recovered as soon as possible. The degree distribution of the robust soliton distribution is then optimized in literature [21], and it is suggested to reorder the degree distribution from large to small in order to delay the emergence of degree-1 symbols.…”

Section: Introductionmentioning

confidence: 99%

Analysis and Research on Secondary LT Coding Anti-Eavesdropping Scheme Based on LT Code Degree-1

Wang,

Niu,

Jin

et al. 2023

Applied Sciences

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Fountain code can significantly increase eavesdroppers’ untranslated efficiency in the wireless communication eavesdropping channel. The secondary LT coding anti-eavesdropping scheme with fountain code degree-1 is the subject of a theoretical investigation in this paper. The fact that its channel security capacity is greater than that of traditional LT code is first deduced from an information-theoretic standpoint, and the impact of source symbol length on decoding complexity and decoding overhead is then examined. The experimental results show that, compared with the traditional anti-eavesdropping twice fountain code, selecting long source symbols for double LT coding, when the main channel is better than the eavesdropping channel, can ensure that the eavesdropper has a higher untranslated efficiency, and can effectively reduce the fountain code decoding complexity and the number of encoded symbols sent by the source to improve the efficiency of information transmission.

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“…[15] uses an extended window strategy as well as a uniform random selection strategy for group decoding of codewords with different priorities, which improves the recovery time of high-priority symbols with little overall overhead performance loss. In [16], a Gaussian elimination algorithm is introduced, and the data erasure probability is used to adjust the degree distribution design of the LT codes. [17] uses the decoding states of all the receivers to update the encoded symbol degrees and stores the received encoded symbols that cannot be decoded immediately and decodes them later so that the system reduces the multistate effect and improves the recovery performance of the system.…”

Section: Introductionmentioning

confidence: 99%

Design of Anti-Eavesdropping Scheme for SLT-LT Codes Based on Random Symbol Sets

Zhang

Niu

et al. 2022

IEEE Access

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In recent years, physical layer security technology has provided a new way to solve the problem of secure transmissions in wireless communications from an information theory perspective by using physical layer security coding and the inherent characteristics of the channel. As a nonsystematic code, Luby transform (LT) code has the characteristics of random coding and rateless, therefore, eavesdroppers cannot directly obtain useful information from leaked code symbols. As a shifted LT (SLT) code, the SLT codes can efficiently recover information, with a smaller decoding overhead. Therefore, we propose an SLT-LT joint code anti-eavesdropping scheme based on random symbol sets. Based on the environment of the main channel, the sender selects a set of random symbols to send to legitimate receivers as known symbols and uses these random symbols and message symbols to form source symbols for the SLT-LT concatenated coding to increase the bit error rate (BER) of the eavesdroppers. The experimental results show that, compared with other anti-eavesdropping LT schemes, our proposed scheme only adds a small amount of decoding overhead but has a better security performance.

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Online Fountain Codes With Unequal Recovery Time

Cited by 9 publications

References 12 publications

Intelligent cognitive spectrum collaboration: Convergence of spectrum sensing, spectrum access, and coding technology

Intelligent cognitive spectrum collaboration: Convergence of spectrum sensing, spectrum access, and coding technology

Analysis and Research on Secondary LT Coding Anti-Eavesdropping Scheme Based on LT Code Degree-1

Design of Anti-Eavesdropping Scheme for SLT-LT Codes Based on Random Symbol Sets

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