基于无线信道预测的自适应调制

该文研究了在平坦Rayleigh衰落信道下，借助于无线信道预测对一个基于非编码的MQAM自适应调制进行优化设计的问题。主要是通过采用无偏二阶估计的方法去研究一个已知的预测误差方差对最优化传输特性的影响。推导出基于预测的信噪比和预测误差方差的数据速率的最优解，以此对数据速率进行调整，使得频谱效率在误比特率的约束条件下达到最大化。通过仿真给出的数值解表明它能更好地将链路自适应地快速调整到信道的真实条件，提高整个系统的性能。

Adaptive Modulation Based on Predicted Wireless Channels

In this paper the optimum design of an adaptive modulation based on uncoded MQAM modulation assisted by wireless channel prediction for the flat Rayleigh fading channel is discussed. By studying how a known prediction error variance will affect the optimized transmission properties, optimum solutions for the rate are derived based on the predicted SNR and the prediction error variance. And the data rate is adapted to maximize the spectral efficiency subject to average bit error rate constraints. The numerical results by simulations show that it adjusts the link adaptation better to the true channel conditions and improves the overall system performance.