TDD慢衰落系統(tǒng)中的預(yù)重傳GBN-ARQ性能分析
Adaptive Predicted Repeat GBN-ARQ Algorithm in TDD Slowly Fading Channel
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摘要: 該文提出一種新的適于TDD時(shí)變慢衰落系統(tǒng)的預(yù)重傳GBN-ARQ算法，并與Nakamura Osamu提出的預(yù)重傳方案分析比較。比較的結(jié)果認(rèn)為：吞吐率較低時(shí)該文提出的預(yù)重傳方案改善明顯，吞吐率較高時(shí)Nakamura Osamu方案增益較大，且該文算法對預(yù)測準(zhǔn)確率的穩(wěn)健性明顯高于Nakamura Osamu預(yù)重傳方案。仿真結(jié)果表明歸一化吞吐率為0.6附近，該文預(yù)重傳方案吞吐率相對于普通GBN提高大約4dB。
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關(guān)鍵詞:
- 移動(dòng)通信; 預(yù)測; GBN(退N步重傳); ARQ
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. -
刑小剛，楊鴻文，郭文彬. 一種適用于OFDM系統(tǒng)的新型混合ARQ方案. 北京郵電大學(xué)學(xué)報(bào)，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 編著. 糾錯(cuò)碼與差錯(cuò)控制. 北京，人民郵電出版社，1989，第八章. -
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