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Algebraic Approach to Random Convolutional Network Coding over Wireless Packet Networks

Algebraic Approach to Random Convolutional Network Coding over Wireless Packet Networks
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摘要 To characterize the algebraic structure of wireless network coding, a hypergragh is utilized to model wireless packet networks from network layer. The algebraic description of random convolutional network coding is deduced, and the coding condition is also presented. Analyses and simulations show that random convolutional coding is capacity-achieving with probability approaching 1. To characterize the algebraic structure of wireless network coding, a hypergragh is utilized to model wireless packet networks from network layer. The algebraic description of random convolutional network coding is deduced, and the coding condition is also presented. Analyses and simulations show that random convolutional coding is capacity-achieving with probability approaching 1.
出处 《Transactions of Tianjin University》 EI CAS 2013年第4期307-312,共6页 天津大学学报(英文版)
基金 Supported by National Natural Science Foundation of China (No.61271174) Young Teachers' Innovation Foundation of Xidian University(K5051303137)
关键词 无线分组网络 网络编码 卷积编码 随机 代数方法 代数结构 代数描述 仿真结果 wireless network coding random convolutional network coding hypergraph capacity-achieving
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