Results 1 to 10 of about 407,668 (252)
Multiple Linear-Combination Security Network Coding [PDF]
Entropy, 2023 In this paper, we put forward the model of multiple linear-combination security multicast network coding, where the wiretapper desires to obtain some information about a predefined set of multiple linear combinations of the source symbols by ...
Yang Bai, Xuan Guang, Raymond W. Yeung
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Quasi-linear Network Coding [PDF]
2014 International Symposium on Network Coding (NetCod), 2014 We present a heuristic for designing vector non-linear network codes for non-multicast networks, which we call quasi-linear network codes. The method presented has two phases: finding an approximate linear network code over the reals, and then quantizing
Médard, Muriel, Schwartz, Moshe
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Linear Network Coding, Linear Index Coding and Representable Discrete Polymatroids [PDF]
IEEE Transactions on Information Theory, 2016 Discrete polymatroids are the multi-set analogue of matroids. In this paper, we explore the connections among linear network coding, linear index coding and representable discrete polymatroids. We consider vector linear solutions of networks over a field
Muralidharan, Vijayvaradharaj T. +1 more
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Random Linear Network Coding for 5G Mobile Video Delivery [PDF]
Information, 2018 An exponential increase in mobile video delivery will continue with the demand for higher resolution, multi-view and large-scale multicast video services.
Dejan Vukobratovic +3 more
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Vector Network Coding Based on Subspace Codes Outperforms Scalar Linear Network Coding [PDF]
IEEE Transactions on Information Theory, 2016 This paper considers vector network coding solutions based on rank-metric codes and subspace codes. The main result of this paper is that vector solutions can significantly reduce the required alphabet size compared to the optimal scalar linear solution for the same multicast network. The multicast networks considered in this paper have one source with
Tuvi Etzion, Antonia Wachter-Zeh
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The Rank Distribution of Sparse Random Linear Network Coding [PDF]
IEEE Access, 2019 Sparse random linear network coding (SRLNC) is a promising solution for reducing the complexity of random linear network coding (RLNC). RLNC can be modeled as a linear operator channel (LOC).
Wenlin Chen, Fang Lu, Yan Dong
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Forms and Linear Network Codes [PDF]
, 2013 We present a general theory to obtain linear network codes utilizing forms and obtain explicit families of equidimensional vector spaces, in which any pair of distinct vector spaces intersect in the same small dimension. The theory is inspired by the methods of the author utilizing the osculating spaces of Veronese varieties.
Johan P. Hansen
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BAR: Blockwise Adaptive Recoding for Batched Network Coding
Entropy, 2023 Multi-hop networks have become popular network topologies in various emerging Internet of Things (IoT) applications. Batched network coding (BNC) is a solution to reliable communications in such networks with packet loss.
Hoover H. F. Yin +4 more
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Sub-rate linear network coding
Computer Communications, 2023 Increasing network utilization is often considered as the holy grail of communications. In this article, the concept of sub-rate coding and decoding in the framework of linear network coding (LNC) is discussed for single-source multiple-sinks finite acyclic networks. Sub-rate coding offers an add-on to existing LNC.
B. Grinboim, I. Shrem, O. Amrani
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Circular-shift linear network coding [PDF]
2017 IEEE International Symposium on Information Theory (ISIT), 2017 We study a class of linear network coding (LNC) schemes, called circular-shift LNC, whose encoding operations consist of only circular-shifts and bit-wise additions (XOR). Formulated as a special vector linear code over GF($2$), an $L$-dimensional circular-shift linear code of degree $ $ restricts its local encoding kernels to be the summation of at ...
Hanqi Tang +4 more
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