【摘要】 将呈现随机"好"、"坏"状态跳变的深空Ka频段链路噪声温度建模为两状态Gilbert-Elliot信道,考虑深空下行发送端只能获得延迟的信道状态信息(CSI)的限制,结合部分观测马尔科夫决策理论设计了基于延迟CSI预测信道状态的自适应最大化吞吐量传输策略。理论推导了在深空通信环境下最优传输策略的关键阈值,并给出了简化的闭合解计算式。通过地球-火星通信参数仿真,校验了该方案能有效提高吞吐量,提高文件传输效率。更多还原

【Abstract】 By using the noise temperature of deep space Ka-band channel,a two-state Gilbert-Elliot channel model is designed to capture the quality of the channel that randomly ranging from good to bad state. Moreover,the downlink of deep-space communications can only receive delayed channel state information( CSI) feedback. Combining the theory of the partially observable markov decision processes,an optimal transmission scheme has been developed over the delayed CSI feedback. The key thresholds for selecting the optimal transmission method in the deep-space communication environment are derived,and the simplified closed solutions are given. Simulation results of Earth-to-Mars parameters show that the proposed scheme can increase system throughput and improve transmission efficiency.更多还原