Telecommunications Science ›› 2011, Vol. 27 ›› Issue (12): 44-47.doi: 10.3969/j.issn.1000-0801.2011.12.013

• research and development • Previous Articles     Next Articles

Improvement of Maximum Likelihood Decoding Algorithm in Complex Field Network Coding

Tao Yuan,Jiange Xie,Yuan Bao,Liang Yang   

  1. College of Information Science and Technology, Jinan University, Guangzhou 510632, China
  • Online:2011-12-15 Published:2011-12-15

Abstract:

A modified maximum likelihood(ML)decoding algorithm was proposed at the relay for the complex field network coding(CFNC)in this paper. When the traditional maximum likelihood decoding algorithm is used in the complex field network coding in relay networks, computational complexity will greatly increase with the higher-order constellation mapping. In order to reduce computational complexity, we proposed a novel maximum likelihood algorithm based on the previous studies. We can use asymmetry of the wireless relay network, pre-judgment at the first, then accurate judgments, which can greatly reduce the computational complexity and improve the performance of the wireless relay network.

Key words: complex field network coding, maximum likelihood decoding, wireless relay network

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