训练序列长度可变的混合ARQ方案

Hybrid ARQ scheme with variable training sequence length

为了进一步提高系统的吞吐效率,本文提出了一种均衡器训练序列长度可变的混合ARQ方案。通过对该方案和现有方案吞吐效率的理论推导和计算复杂度分析得出:该方案可以在不增加计算复杂度的情况下,提高系统吞吐效率。数值仿真的结果进一步证实了该方案的有效性。

In order to achieve a better throughput efficiency of the system, this paper presents a hybrid ARQ scheme with variable training sequence length （VTSL-HARQ）. Theatrical derivaton shows that the new scheme can improve the throughput efficiency with no addition of computational complexity. Simulation results confirm the validity.