Poisson Robust Soliton Distribution for LT Codes

Yao, Weiqing; Yi, Benshun; Huang, Taiqi; Li, Weizhong

doi:10.1109/lcomm.2016.2578920

Cited by 22 publications

(15 citation statements)

References 8 publications

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“…We set the constants 0.3 c = and =0.2 δ in RSD and adopt the Belief Propagation algorithm to decode the encoded data. In [5], the author had proved that PD with =3.04 λ can achieve optimal performance, so we adopt this value in our simulation.…”

Section: Simulation Resultsmentioning

confidence: 99%

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A New Method to Design Modified Robust Distribution of LT Codes

Shang¹,

Meng²,

Jiang³

et al. 2018

dtcse

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Abstract. The performance of the decoding process of LT codes depends largely on its degree distribution. Due to the Significance of the degree distribution, the optimization of it is worth explored. In this paper, we propose a new method to design the degree distribution. We make modification to the robust soliton distribution through adding adjusted binary exponential distribution and modified Poisson distribution on RSD and controlling the weight of them. This method can combine the advantages of these degree distributions and highly improve the performance of encoding and decoding. Through simulation experiments, we have obtained the optimal value of weight and verified its better performance.

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Section: Simulation Resultsmentioning

confidence: 99%

“…However, producing too much degree-1 encoded symbols will increase the redundancy and reduce the probability of source symbols participating in encoding process [4]. In [5], the authors proposed the concept of Poisson robust degree distribution. The authors use Poisson Distribution to replace ISD in the construction of RSD.…”

Section: Introductionmentioning

confidence: 99%

A New Method to Design Modified Robust Distribution of LT Codes

Shang¹,

Meng²,

Jiang³

et al. 2018

dtcse

View full text Add to dashboard Cite

show abstract

“…The degree distribution is critical to the performance of the rateless code. The robust soliton distribution (RSD) is first proposed for the LT code [1], and later the Poisson robust soliton distribution (PRSD) was proposed to improve the decoding efficiency and the symbol-recovery probability [9]. More detailed information on the encoding of the rateless code can be found in [10].…”

Section: Rateless Codesmentioning

confidence: 99%

Soft Iterative Decoding Algorithms for Rateless Codes in Satellite Systems

2019

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The satellite system is one of the most efficient means for broadcasting due to its wide service coverage as well as the fact that it can provide high data rate services by using high frequency bands. However, there are a number of problems in the satellite system, such as a long round trip delay (RTD) and heterogeneity of the channel conditions of the earth stations. Even though utilizing adaptive coding and modulation (ACM) is almost mandatory for the satellite systems using high frequency bands due to the serious rain fading, the long RTD makes it difficult to quickly respond to channel quality information, resulting in a decrease in the efficiency of ACM. A high heterogeneity of earth stations caused by a wide service coverage also makes it difficult to apply a uniform transmission mode, and thus satellite systems require receiver-dependent transmission modes. A rateless code can be an effective means to compensate for these disadvantages of satellite systems compared to terrestrial wireless systems. This paper presents soft iterative decoding algorithms for efficient application of rateless codes in satellite systems and demonstrates that rateless codes can be effectively used for hybrid automatic repeat request schemes.

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“…The degree distribution is critical to the performance of the LT code. After Luby first presented RSD for the LT code [1], the PRSD was proposed to improve the decoding efficiency and the symbol‐recovery probability [4].…”

Section: Lt Codes Over a Noisy Channelmentioning

confidence: 99%

“…Many scholars have paid great attention towards the design of good degree‐distribution functions to achieve the above requirements [3–6]. Based on the robust soliton distribution (RSD) which was originally used for LT codes [1], the Poisson robust soliton distribution (PRSD) degree function was proposed by combining the characteristics of the Poisson distribution and RSD [4]. Further, a modified robust soliton distribution was proposed by adjusting the proportions of the degree‐1, the degree‐2, and the maximum degree to increase the average ripple size and to decrease its variance [6].…”

Section: Introductionmentioning

confidence: 99%