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Journal articles on the topic 'Fountain codes'

Author: Grafiati
Published: 4 June 2021
Last updated: 20 February 2023

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1

MacKay, D. J. C. "Fountain codes." IEE Proceedings - Communications 152, no. 6 (2005): 1062. http://dx.doi.org/10.1049/ip-com:20050237.

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2

Mirrezaei, Seyed Masoud, Karim Faez, and Shahram Yousefi. "Towards Fountain Codes." Wireless Personal Communications 77, no. 2 (January 9, 2014): 1533–62. http://dx.doi.org/10.1007/s11277-013-1597-7.

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3

Asteris, Megasthenis, and Alexandros G. Dimakis. "Repairable Fountain Codes." IEEE Journal on Selected Areas in Communications 32, no. 5 (May 2014): 1037–47. http://dx.doi.org/10.1109/jsac.2014.140522.

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4

KIRIAN, M. L., G. MEREGILLANO, D. GENNETTE, and J. M. WEINTRAUB. "Multi-jurisdictional investigation of interactive fountain-associated cryptosporidiosis and salmonellosis outbreaks." Epidemiology and Infection 136, no. 11 (January 16, 2008): 1547–51. http://dx.doi.org/10.1017/s0950268807000222.

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SummaryInteractive water fountains are established sources of gastrointestinal infections yet most health codes fail to regulate their design and operation. This report describes multi-agency, concurrent interactive fountain-associated cryptosporidiosis and salmonellosis outbreak investigations and highlights the need for the adoption of appropriate regulations for interactive fountains.
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5

NOZAKI, Takayuki. "Zigzag Decodable Fountain Codes." IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences E100.A, no. 8 (2017): 1693–704. http://dx.doi.org/10.1587/transfun.e100.a.1693.

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6

NOZAKI, Takayuki. "Zigzag Decodable Fountain Codes." IEICE ESS Fundamentals Review 13, no. 1 (July 1, 2019): 7–19. http://dx.doi.org/10.1587/essfr.13.1_7.

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7

Kumar, Siddhartha, Eirik Rosnes, and Alexandre Graell i Amat. "Secure Repairable Fountain Codes." IEEE Communications Letters 20, no. 8 (August 2016): 1491–94. http://dx.doi.org/10.1109/lcomm.2016.2574355.

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8

Zhao, Yuli, Yin Zhang, Francis C. M. Lau, Hai Yu, and Zhiliang Zhu. "Improved online fountain codes." IET Communications 12, no. 18 (November 20, 2018): 2297–304. http://dx.doi.org/10.1049/iet-com.2018.5486.

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9

Harb, Ali Bazzi, Hiba, Zahraa Younes, Majd Ghareeb, and Samih Abdulnabi. "Fountain Codes: LT And Raptor Codes Implementation." International Journal of Engineering Research and Applications 07, no. 01 (January 2017): 97–102. http://dx.doi.org/10.9790/9622-07010197102.

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10

Peng, Xiao Feng, Yi Yang, Chuan Yang, and Kai Li Wang. "Research on Data Transmission Technology Based on Raptor Code in Wireless Sensor Networks." Applied Mechanics and Materials 442 (October 2013): 538–43. http://dx.doi.org/10.4028/www.scientific.net/amm.442.538.

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Wireless sensor network is a data centric distributed self-organizing network. The transmission of data is the most important task of it. It is a topic worthy of study that how to ensure the reliability of data transmission in any environment .Fountain codes algorithm is simple, and has no ratio. It is very suitable for coding scheme for Wireless Sensor Networks. This paper mainly studies the Fountain codes of Raptor codes in wireless sensor network data transmission technology, and gives the concrete scheme and implementation ways. The application of this technology can improve the reliability of data transmission and transmission efficiency. It overcome the problems of very large packet error codec technology traditional rate and the decoding success rate.
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11

Orozco, Vivian Lucia, and Shahram Yousefi. "Trapping Sets of Fountain Codes." IEEE Communications Letters 14, no. 8 (August 2010): 755–57. http://dx.doi.org/10.1109/lcomm.2010.08.100548.

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12

Abbas, Waqas Bin, Paolo Casari, and Michele Zorzi. "Controlled Flooding of Fountain Codes." IEEE Transactions on Wireless Communications 16, no. 7 (July 2017): 4698–710. http://dx.doi.org/10.1109/twc.2017.2701822.

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13

Wang, Zheng, and Jie Luo. "Fountain Communication using Concatenated Codes." IEEE Transactions on Communications 61, no. 2 (February 2013): 443–54. http://dx.doi.org/10.1109/tcomm.2012.09.110674.

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14

Shang, Jin, Wenjun Xu, Chia-Han Lee, Xin Yuan, Ping Zhang, and Jiaru Lin. "REF Codes: Intermediate Performance Oriented Fountain Codes With Feedback." IEEE Transactions on Vehicular Technology 69, no. 11 (November 2020): 13148–64. http://dx.doi.org/10.1109/tvt.2020.3021086.

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15

Cassuto, Yuval, and Amin Shokrollahi. "Online Fountain Codes With Low Overhead." IEEE Transactions on Information Theory 61, no. 6 (June 2015): 3137–49. http://dx.doi.org/10.1109/tit.2015.2422697.

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16

Xi Liu and Teng Joon Lim. "Fountain codes over fading relay channels." IEEE Transactions on Wireless Communications 8, no. 6 (June 2009): 3278–87. http://dx.doi.org/10.1109/twc.2009.081102.

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17

Shao, Hanqin, Hongbo Zhu, and Junwei Bao. "Analysis and Design of Enhanced Distributed Fountain Codes in Multiple Access Networks with Cooperative Relay." Symmetry 14, no. 10 (September 27, 2022): 2026. http://dx.doi.org/10.3390/sym14102026.

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Distributed fountain coding plays an important role in rateless code research. The reliability and effectiveness of these coding schemes are increasingly challenged with the growing applications. In this paper, a novel multiple-access network with cooperative relay is presented, and a novel enhanced distributed fountain coding scheme for this network is proposed. The overall degree distributions are derived, and the asymptotic decoding performance is analyzed theoretically by employing the And-Or tree method. On this basis, a design method using joint iterative optimization algorithms is proposed to optimize the degree distributions of the sources and relays. Simulation results show that the proposed enhanced distributed fountain codes outperform the existing generalized distributed fountain codes (GDFC) and have a good performance on both lossless and lossy channels. It reveals that the proposed codes can provide unequal error protection (UEP) property for different sources by introducing the extra cooperative relay. The performance improvement is not restricted to the sources connected to the cooperative relay but applies to all sources. With the additional relay, the proposed codes are able to overcome the effects of bad channel conditions caused by terrain, obstacles, and so on, to avoid communication interruptions and improve the reliability of the network.
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18

Qureshi, Jalaluddin, Chuan Heng Foh, and Jianfei Cai. "Primer and Recent Developments on Fountain Codes." Recent Advances in Communications and Networking Technology 2, no. 1 (March 18, 2014): 2–11. http://dx.doi.org/10.2174/22117407112019990001.

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19

Luus, F. P. S., A. McDonald, and B. T. Maharaj. "Universal Decremental Redundancy Compression with Fountain Codes." SAIEE Africa Research Journal 101, no. 2 (June 2010): 68–80. http://dx.doi.org/10.23919/saiee.2010.8532229.

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20

Abbas, Rana, Mahyar Shirvanimoghaddam, Tao Huang, Yonghui Li, and Branka Vucetic. "Novel Design for Short Analog Fountain Codes." IEEE Communications Letters 23, no. 8 (August 2019): 1306–9. http://dx.doi.org/10.1109/lcomm.2019.2910517.

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21

Cai, Peixiang, Yu Zhang, Changyong Pan, and Jian Song. "Online Fountain Codes With Unequal Recovery Time." IEEE Communications Letters 23, no. 7 (July 2019): 1136–40. http://dx.doi.org/10.1109/lcomm.2019.2915670.

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22

Badarla, Venkataramana, Vijay Subramanian, and Douglas Leith. "Low-delay dynamic routing using fountain codes." IEEE Communications Letters 13, no. 7 (July 2009): 552–54. http://dx.doi.org/10.1109/lcomm.2009.081997.

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23

Niu, Hao, Masayuki Iwai, Kaoru Sezaki, Li Sun, and Qinghe Du. "Exploiting Fountain Codes for Secure Wireless Delivery." IEEE Communications Letters 18, no. 5 (May 2014): 777–80. http://dx.doi.org/10.1109/lcomm.2014.030914.140030.

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24

Spencer, James, Khaled F. Hayajneh, and Shahram Yousefi. "Robust quaternary fountain codes in AWGN interference." IET Communications 12, no. 20 (December 20, 2018): 2561–67. http://dx.doi.org/10.1049/iet-com.2018.5491.

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25

Cohen, Asaf, Shlomi Dolev, and Nir Tzachar. "Efficient and Universal Corruption Resilient Fountain Codes." IEEE Transactions on Communications 61, no. 10 (October 2013): 4058–66. http://dx.doi.org/10.1109/tcomm.2013.082813.110754.

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26

Zhang, Haojie, Weimin Bao, Min Yang, Xiaoping Li, and Yanming Liu. "Adaptive Classification Fountain Codes for Reentry Communication." IEEE Access 7 (2019): 62911–19. http://dx.doi.org/10.1109/access.2019.2915926.

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27

Abdulkhaleq, Nadhir Ibrahim, Nahla Abdul Jalil Salih, Rajaa Salih Mohammed Hasan, and Ihsan Jabbar Hasan. "A Simulink model for modified fountain codes." TELKOMNIKA (Telecommunication Computing Electronics and Control) 21, no. 1 (February 1, 2023): 18. http://dx.doi.org/10.12928/telkomnika.v21i1.23274.

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28

Shao, Han Qin, Da Zhuan Xu, and Xiao Fei Zhang. "The Design and Analysis of Distributed Fountain Codes in Three-Source Single-Relay Networks." Applied Mechanics and Materials 556-562 (May 2014): 6042–45. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.6042.

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A novel distributed fountain coding scheme for three-source single-relay networks is proposed. First, the robust Soliton distribution (RSD) is threefoldly deconvolved to get the degree distribution for each source performing encoding. Then the single relay performs re-encoding using certain degree distribution. The asymptotic performance of distributed fountain codes with three sources (DFC-3) is analyzed by the And-Or tree technique. Simulations of the proposed DFC-3 are evaluated and compared with other fountain coding schemes. Simulation results show that the overall degree distribution of DFC-3 is consistent with RSD, and the BER performance agrees with the results of asymptotic analysis. It also reveals that DFC-3 have good performance on lossless channels.
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29

Ahmed, Safiyo M., NIU Fang-lin, H. Hasnain Imtiaz, and Asim Zaman. "ANTI EAVESDROPPING CODE SYSTEM BASED ON FOUNTAIN CODES." International Journal of Engineering Applied Sciences and Technology 04, no. 08 (December 31, 2019): 255–59. http://dx.doi.org/10.33564/ijeast.2019.v04i08.044.

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30

Huang, Jingxuan, Zesong Fei, Congzhe Cao, Ming Xiao, and Dai Jia. "On-Line Fountain Codes With Unequal Error Protection." IEEE Communications Letters 21, no. 6 (June 2017): 1225–28. http://dx.doi.org/10.1109/lcomm.2017.2669319.

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31

Huang, Jingxuan, Zesong Fei, Congzhe Cao, Ming Xiao, and Dai Jia. "Performance Analysis and Improvement of Online Fountain Codes." IEEE Transactions on Communications 66, no. 12 (December 2018): 5916–26. http://dx.doi.org/10.1109/tcomm.2018.2867436.

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32

Liva, Gianluigi, Enrico Paolini, and Marco Chiani. "Performance versus overhead for fountain codes over Fq." IEEE Communications Letters 14, no. 2 (February 2010): 178–80. http://dx.doi.org/10.1109/lcomm.2010.02.092080.

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33

Deng, Zaihui, Xiaojun Tong, Benshun Yi, and Liangcai Gan. "Fountain codes based on modulo and neural network." International Journal of Information and Communication Technology 9, no. 4 (2016): 463. http://dx.doi.org/10.1504/ijict.2016.079960.

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34

Deng, Zaihui, Xiaojun Tong, Benshun Yi, and Liangcai Gan. "Fountain codes based on modulo and neural network." International Journal of Information and Communication Technology 9, no. 4 (2016): 463. http://dx.doi.org/10.1504/ijict.2016.10000498.

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35

Hashemi, Morteza, Yuval Cassuto, and Ari Trachtenberg. "Fountain Codes With Nonuniform Selection Distributions Through Feedback." IEEE Transactions on Information Theory 62, no. 7 (July 2016): 4054–70. http://dx.doi.org/10.1109/tit.2016.2570232.

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36

Sejdinovic, D., D. Vukobratovic, A. Doufexi, V. Senk, and R. Piechocki. "Expanding window fountain codes for unequal error protection." IEEE Transactions on Communications 57, no. 9 (September 2009): 2510–16. http://dx.doi.org/10.1109/tcomm.2009.09.070616.

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37

Molisch, Andreas, Neelesh Mehta, Jonathan Yedidia, and Jin Zhang. "Performance of Fountain Codes in Collaborative Relay Networks." IEEE Transactions on Wireless Communications 6, no. 11 (November 2007): 4108–19. http://dx.doi.org/10.1109/twc.2007.060232.

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38

Lee, Shih-Kai, Yen-Ching Liu, Hsin-Liang Chiu, and Yung-Chih Tsai. "Fountain Codes With PAPR Constraint for Multicast Communications." IEEE Transactions on Broadcasting 57, no. 2 (June 2011): 319–25. http://dx.doi.org/10.1109/tbc.2011.2104690.

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39

Mirrezaei, Seyed Masoud, Karim Faez, and Shahram Yousefi. "Towards Fountain Codes. Part II: Belief Propagation Decoding." Wireless Personal Communications 77, no. 2 (June 6, 2014): 1563–84. http://dx.doi.org/10.1007/s11277-014-1646-x.

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40

Vukobratovic, Dejan, Vladimir Stankovic, Dino Sejdinovic, Lina Stankovic, and Zixiang Xiong. "Scalable Video Multicast Using Expanding Window Fountain Codes." IEEE Transactions on Multimedia 11, no. 6 (October 2009): 1094–104. http://dx.doi.org/10.1109/tmm.2009.2026087.

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41

Altman, Eitan, and Francesco De Pellegrini. "Forward Correction and Fountain Codes in Delay-Tolerant Networks." IEEE/ACM Transactions on Networking 19, no. 1 (February 2011): 1–13. http://dx.doi.org/10.1109/tnet.2010.2091968.

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42

Cai, Peixiang, Yu Zhang, Yichen Wu, Xiaohua Chang, and Changyong Pan. "Feedback Strategies for Online Fountain Codes With Limited Feedback." IEEE Communications Letters 24, no. 9 (September 2020): 1870–74. http://dx.doi.org/10.1109/lcomm.2020.2997683.

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43

Hanqin Shao, Dazhuan Xu, and Xiaofei Zhang. "Asymptotic Analysis and Optimization for Generalized Distributed Fountain Codes." IEEE Communications Letters 17, no. 5 (May 2013): 988–91. http://dx.doi.org/10.1109/lcomm.2013.040913.130187.

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44

Shirvanimoghaddam, Mahyar, Yonghui Li, and Branka Vucetic. "Near-Capacity Adaptive Analog Fountain Codes for Wireless Channels." IEEE Communications Letters 17, no. 12 (December 2013): 2241–44. http://dx.doi.org/10.1109/lcomm.2013.101813.131972.

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45

Yildiz, Huseyin Ugur. "Maximization of Underwater Sensor Networks Lifetime via Fountain Codes." IEEE Transactions on Industrial Informatics 15, no. 8 (August 2019): 4602–13. http://dx.doi.org/10.1109/tii.2019.2892866.

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46

Dai, Jingke, Xiao Chen, Fenggan Zhang, and Kai Kang. "Optimisation design of systematic fountain codes on fading channels." IET Communications 13, no. 20 (December 19, 2019): 3369–76. http://dx.doi.org/10.1049/iet-com.2019.0426.

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47

Kasai, Kenta, David Declercq, and Kohichi Sakaniwa. "Fountain Coding via Multiplicatively Repeated Non-Binary LDPC Codes." IEEE Transactions on Communications 60, no. 8 (August 2012): 2077–83. http://dx.doi.org/10.1109/tcomm.2012.061112.110177.

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48

James, Ashish, A. S. Madhukumar, Ernest Kurniawan, and Fumiyuki Adachi. "Performance Analysis of Fountain Codes in Multihop Relay Networks." IEEE Transactions on Vehicular Technology 62, no. 9 (November 2013): 4379–91. http://dx.doi.org/10.1109/tvt.2013.2265279.

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49

Hayajneh, Khaled F. "Memory-Based LT Codes for Efficient 5G Networks and Beyond." Electronics 10, no. 24 (December 20, 2021): 3169. http://dx.doi.org/10.3390/electronics10243169.

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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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50

Blasco, Francisco Lazaro, Giuliano Garrammone, and Gianluigi Liva. "Parallel Concatenation of Non-Binary Linear Random Fountain Codes with Maximum Distance Separable Codes." IEEE Transactions on Communications 61, no. 10 (October 2013): 4067–75. http://dx.doi.org/10.1109/tcomm.2013.090513.120834.

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