Research on the Optimal Decoding Overhead of LT Codes

被引:0
|
作者
Wu, Shuang [1 ]
Guan, Qingyang [1 ]
Cui, Chen [2 ]
机构
[1] Xian Int Univ, Coll Engn, Xian, Peoples R China
[2] Harbin Inst Technol, Sch Elect & Informat Engn, Harbin, Peoples R China
关键词
Rateless codes; LT codes; transmission efficiency; recovery ratio per symbol; optimal decoding overhead;
D O I
10.1109/IWCMC51323.2021.9498769
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
The LT codes can generate coded symbols as much as needed, which property makes the LT codes be the first class of rateless codes. As the encoding process of a traditional LT code would depends on the feedback message, which code can suit for various channel states, at the cost of affected by twice transmission delay. But in many scenarios, the feedback messages would bring some drawbacks, such as the feedback channels are not existed or the transmission distances are too much, etc.. And the error performances of LT codes also can be pre-determined by using different output degree distributions. For these reasons, if the encoder can pre-known the channel states, there is a chance to make the data transmitted with a optimal efficiency. As in the research field on rateless codes, the code rate were barely to be concerned, instead of its reciprocal, which named as overhead. In this paper, by quantized the transmission efficiency by using the proposed notation Recovery Ratio Per Symbol (RRPS), the optimal decoding overhead and optimal encoding overhead which are related to the maximum coding efficiency, and which would make the LT codes have the potential to transmit data without feedback messages with a higher transmission efficiency.
引用
收藏
页码:1829 / 1834
页数:6
相关论文
共 50 条
  • [21] A Novel Decoding Scheme for LT-Codes in Wireless Broadcasting Systems
    Wang, Kongtao
    Chen, Zhiyong
    Liu, Hui
    IEEE COMMUNICATIONS LETTERS, 2013, 17 (05) : 972 - 975
  • [22] A Novel Encoding and Decoding Method of LT Codes and Application to Cognitive Radio
    Yao W.
    Yi B.
    Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology, 2019, 41 (03): : 571 - 579
  • [23] Reduced-Complexity Decoding of LT Codes over Noisy Channels
    Hussain, Iqbal
    Xiao, Ming
    Rasmussen, Lars K.
    2013 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE (WCNC), 2013, : 3856 - 3860
  • [24] A Novel Encoding and Decoding Method of LT Codes and Application to Cognitive Radio
    Yao Weiqing
    Yi Benshun
    JOURNAL OF ELECTRONICS & INFORMATION TECHNOLOGY, 2019, 41 (03) : 571 - 579
  • [25] Research on Degree Distribution Optimization of LT Codes
    Liu Y.
    Wang P.
    Tian D.
    Sun H.
    Qi J.
    Song R.
    Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University, 2020, 38 (03): : 627 - 633
  • [26] EFFICIENT OPTIMAL DECODING OF LINEAR BLOCK-CODES
    HWANG, TY
    IEEE TRANSACTIONS ON INFORMATION THEORY, 1980, 26 (05) : 603 - 606
  • [27] Sub-optimal decoding of block and lattice codes
    Amrani, O
    Beery, Y
    NINETEENTH CONVENTION OF ELECTRICAL AND ELECTRONICS ENGINEERS IN ISRAEL, 1996, : 340 - 343
  • [28] Optimal and efficient decoding of concatenated quantum block codes
    Poulin, David
    PHYSICAL REVIEW A, 2006, 74 (05):
  • [29] PARTIAL-OPTIMAL PIECEWISE DECODING OF LINEAR CODES
    DELSARTE, P
    IEEE TRANSACTIONS ON INFORMATION THEORY, 1978, 24 (01) : 70 - 75
  • [30] Optimal Single-Shot Decoding of Quantum Codes
    Cumitini, Aldo
    Tinelli, Stefano
    Matuz, Balazs
    Lazaro, Francisco
    Barletta, Luca
    IEEE COMMUNICATIONS LETTERS, 2024, 28 (06) : 1243 - 1247