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Volume 28 Issue 11
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He Bo, Li Jun, Lin Jia-ru, Wu Wei-ling. Adaptive Predicted Repeat GBN-ARQ Algorithm in TDD Slowly Fading Channel[J]. Journal of Electronics & Information Technology, 2006, 28(11): 2086-2089.
Citation: He Bo, Li Jun, Lin Jia-ru, Wu Wei-ling. Adaptive Predicted Repeat GBN-ARQ Algorithm in TDD Slowly Fading Channel[J]. Journal of Electronics & Information Technology, 2006, 28(11): 2086-2089.

Adaptive Predicted Repeat GBN-ARQ Algorithm in TDD Slowly Fading Channel

  • Received Date: 2005-04-25
  • Rev Recd Date: 2005-10-08
  • Publish Date: 2006-11-19
  • This paper presents a pre-repeat GBN ARQ scheme, which suits for slowly fading TDD system. The normalized throughputs also analysed and compared between the proposed scheme and Nakamura Osamus. It turns out that, depending on the normalized throughput, the optimum scheme is one of the two following alternatives: (1) in the higher throughput, Nakamura Osamus scheme is better; (2) in the lower cases, the proposed scheme works better and is more robust to the error prediction. Simulation results verify that the scheme improves the throughput efficiency: the gain is about 4 dB when the normalized throughput is around 0.6.
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  • 刑小刚,杨鸿文,郭文彬. 一种适用于OFDM系统的新型混合ARQ方案. 北京邮电大学学报,2003, 26(1): 95-98.[2]Yao Y D. An effective Go-Back-N scheme for variable-error-rate channels[J].IEEE Trans. on Commun.1995, 43( 1):20-23[3]Nakamura O, Matsuki H, Takanashi H. Pre-repeat Go-Back-N ARQ with error prediction in fading channel. GLOBECOM '96. Vol.2, 1011-1014.[4]王新梅 编著. 纠错码与差错控制. 北京,人民邮电出版社,1989,第八章.
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