基于叠加编码及多用户调度的高斯传输信道优化算法

Gaussian transmission channel optimization algorithm based on superposition coding and multi-user scheduling

为了提高高斯传输信道的数据传输效率,提出了一种基于叠加编码及多用户调度的高斯传输信道优化算法(MGSC)。首先,该算法提出了高斯传输信道的系统模型,分析源-端的距离概率密度函数和累积分布函数以及用户的平均功率增益;接着,在高斯传输信道上采用最优的叠加编码与连续干扰消除的方法,并根据各个用户的效用函数来执行最佳的功率和速率分配,并通过概率优化方法来对信道用户进行选择,接入最佳的传输信道;最后,实验仿真结果表明,在信道接入用户变化的情况下,相比双向中继信道无线信号和功率传输优化算法(TWRC)以及基于矩阵与格球解码(LSD)技术的数据传输算法,MGSC的信道总数据传输速率分别提升10.2%和21.7%,并且信道增益的平均效果分别高出5.7%和6.4%。因此,MGSC在信道传输速率和信道增益上有较好的优化效果。

To improve the data transmission efficiency of Gaussian transmission channel, a Gaussian transmission channel optimization algorithm based on Superposition Coding and Multi-user scheduling （MGSC） was proposed. First, the system model of Gaussian transmission channel was proposed, the Probability Density Function （PDF） and the Cumulative Distribution Function （CDF） of distance from the source to the end and the user＇s average power gain were analyzed. Next, the method of optimal superposition coding and successive interference cancellation was used in Gaussian transmission channel, the optimal power and rate allocation was performed according to each user＇s utility function, the channel users were selected by the optimal method with probability and then the optimal transmission channel was obtained. Finally, by comparing MGSC with the optimization algorithm of Two-Way Relay Channel wireless signal and power transmission （TWRC）, and the data transmission algorithm based on matrix and Lattice Sphere Decoding technique （LSD）, the simulation results show that the total data rate of channels for MGSC improves 10.2% and 21.7% and the average effect of channel gain is 5.7% and 6.4% higher when channel access users change. Therefore, the MGSC has better optimization results in the channel transmission rate and the channel gain.