Academic literature on the topic 'Random Network Codes'

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Journal articles on the topic "Random Network Codes"

1

Gabidulin, E. M., N. I. Pilipchuk, and M. Bossert. "Decoding of random network codes." Problems of Information Transmission 46, no. 4 (2010): 300–320. http://dx.doi.org/10.1134/s0032946010040034.

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2

Chen, Chao, Hongmei Xie, and Baoming Bai. "Layered subspace codes for random network coding." Transactions on Emerging Telecommunications Technologies 26, no. 3 (2013): 461–68. http://dx.doi.org/10.1002/ett.2648.

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3

Riemensberger, Maximilian, Yalin Sagduyu, Michael Honig, and Wolfgang Utschick. "Training overhead for decoding random linear network codes in wireless networks." IEEE Journal on Selected Areas in Communications 27, no. 5 (2009): 729–37. http://dx.doi.org/10.1109/jsac.2009.090613.

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4

Li, Ye, Jun Zhu, and Zhihua Bao. "Sparse Random Linear Network Coding With Precoded Band Codes." IEEE Communications Letters 21, no. 3 (2017): 480–83. http://dx.doi.org/10.1109/lcomm.2016.2632731.

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5

Wang, Shiheng, Quan Zhou, Siyuan Yang, Chaoyuan Bai, and Heng Liu. "Wireless Communication Strategy with BATS Codes for Butterfly Network." Journal of Physics: Conference Series 2218, no. 1 (2022): 012003. http://dx.doi.org/10.1088/1742-6596/2218/1/012003.

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Abstract In this paper, two transmission schemes for batched sparse(BATS) codes based on a multicast protocol in a butterfly network are studied. For both of the schemes, a source file is first segmented into several packets at the source node, which are then coded with outer coder of the BATS codes to generate potentially unlimited batches. Rather than the linear network, in which the packets are directly transmitted to the next node, the packets will be forwarded to multiple nodes in the butterfly network. All the intermediate nodes which receive the packets recode them with random linear ne
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6

Chen, Siguang, Meng Wu, and Weifeng Lu. "Compressed error and erasure correcting codes via rank-metric codes in random network coding." International Journal of Communication Systems 25, no. 11 (2011): 1398–414. http://dx.doi.org/10.1002/dac.1316.

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7

Nazer, Bobak, and Michael Gastpar. "The case for structured random codes in network capacity theorems." European Transactions on Telecommunications 19, no. 4 (2008): 455–74. http://dx.doi.org/10.1002/ett.1284.

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8

LARASATI, SOLICHAH, and KHOIRUN NI’AMAH. "Sub-Optimal Degree Distribution untuk Prioritas Komunikasi Manusia menggunakan Proyeksi EXIT Chart pada Jaringan Masa Depan." ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika 7, no. 3 (2019): 442. http://dx.doi.org/10.26760/elkomika.v7i3.442.

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ABSTRAKPada jaringan masa depan melibatkan komunikasi antara mesin dan manusia. Penelitian ini mengusulkan konsep coding dalam jaringan menggunakan Maximum Distance Separable (MDS) codes. Desain sub-optimal degree distribution untuk memprioritaskan manusia menggunakan proyeksi EXIT Chart. Pada penelitian ini dasar dari skema multiple akses untuk jaringan super-padat menggunakan Coded Random Access (CRA). Usulan model jaringan menggunakan Binary Erasure Channel (BEC). Evaluasi performansi untuk grup manusia dan mesin diukur berdasarkan throughput dan packet-loss-rate dan hasilnya juga dibuktika
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9

Wachter-Zeh, Antonia, Markus Stinner, and Vladimir Sidorenko. "Convolutional Codes in Rank Metric With Application to Random Network Coding." IEEE Transactions on Information Theory 61, no. 6 (2015): 3199–213. http://dx.doi.org/10.1109/tit.2015.2424930.

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10

Xiao, Ming, Muriel Medard, and Tor Aulin. "Cross-Layer Design of Rateless Random Network Codes for Delay Optimization." IEEE Transactions on Communications 59, no. 12 (2011): 3311–22. http://dx.doi.org/10.1109/tcomm.2011.112311.100366.

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