TDD慢衰落系统中的预重传GBN-ARQ性能分析
Adaptive Predicted Repeat GBN-ARQ Algorithm in TDD Slowly Fading Channel
-
摘要: 该文提出一种新的适于TDD时变慢衰落系统的预重传GBN-ARQ算法，并与Nakamura Osamu提出的预重传方案分析比较。比较的结果认为：吞吐率较低时该文提出的预重传方案改善明显，吞吐率较高时Nakamura Osamu方案增益较大，且该文算法对预测准确率的稳健性明显高于Nakamura Osamu预重传方案。仿真结果表明归一化吞吐率为0.6附近，该文预重传方案吞吐率相对于普通GBN提高大约4dB。Abstract: 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.
-
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. -
计量
- 文章访问数: 2148
- HTML全文浏览量: 97
- PDF下载量: 772
- 被引次数: 0
下载:
