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Sparse Network Coding for 5G Network and Real-time Wireless Communication

Credit to Download: 1 | Page Numbers 11 | Abstract Views: 56
Year: 2019
COI code: ISCELEC03_082
Paper Language: English

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Authors Sparse Network Coding for 5G Network and Real-time Wireless Communication

  Amir Zarei - Department of Computer Science and Information, Institute for Advanced Studies in Basic Sciences (IASBS), Zanjan, Iran


In this paper, we first overview characteristics of the next generation (5G) of wireless communication, mentioning a wide variety of new emerging applications, then focus on delay critical and multimedia applications, and also their demands. Afterwards, we briefly specify the advantages of Network Coding (NC) in the 5G communication area, and introduce the backgrounds of Random Linier NC (RLNC) such as Galois Field, and encoding / decoding mechanisms. Next, we address the basic concepts we use for characterizing our problem by reviewing some related papers, the concepts such as partial decoding, non-systematic and systematic network coding, Absorbing Markov chain, sparsity level, degree of freedom and innovative coded packet. Finally, we investigate a related study which have focused on modeling the performances such as the probability of being innovative a coded packet, the probability of decoding a fraction of a generation and the total number of transmission in order to decode a generation


5G- Network Coding- Random Linear Network Coding

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COI code: ISCELEC03_082

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Zarei, Amir, 2019, Sparse Network Coding for 5G Network and Real-time Wireless Communication, Third National Conference on Electrical and Computer Engineering, تهران, دبيرخانه دائمي كنفرانس, the text, wherever referred to or an achievement of this article is mentioned, after mentioning the article, inside the parental, the following specifications are written.
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The University/Research Center Information:
Type: state university
Paper No.: 331
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