Adaptive Predicted Repeat GBN-ARQ Algorithm
in TDD Slowly Fading Channel
He Bo①; Li Jun②; Lin Jia-ru①; Wu Wei-ling①
①School of Information Science and Engineering, Beijing University of Post and Telecommunications, Beijing 100876, China; ②School of Electrical Information and Control Engineering, Shandong Institute of Light Industry, Jinan 250100, China
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 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.
2006, Vol. 28 
