%0 Journal Article
%T Adaptive Predicted Repeat GBN-ARQ Algorithm in TDD Slowly Fading Channel<br>TDD慢衰落系统中的预重传GBN-ARQ性能分析
%A He Bo
%A Li Jun
%A Lin Jia-ru
%A Wu Wei-ling
%A <br>何 波
%A 李 军
%A 林家儒
%A 吴伟陵
%J 电子与信息学报
%D 2006
%I 
%X 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 Osamu’s. 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 Osamu’s 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.
%K ARQ<br>移动通信
%K 预测
%K GBN(退N步重传)
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=2545D778D3E2F225&yid=37904DC365DD7266&vid=D3E34374A0D77D7F&iid=708DD6B15D2464E8&sid=752849DB76BA9C87&eid=F732F37FA82B687C&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=0&reference_num=4