基于改进最大熵算法系统传输速率优化研究

Study on System Optimization Transmission Rate Based on the Improved Maximum Entropy Algorithm

研究系统速率优化提高问题。随着用户对系统的传输速率要求越来越高,传统的系统优化传输速率算法由于参数设置难,而造成算法复杂度特别高,使得系统的传输速率降低,为了解决上述问题,在基于误比特率和功率的分析基础上,提出了一种改进的最大熵算法优化系统传输速率方法。方法首先给出系统模型并提出自适应最大熵调制算法理论,然后在发送端和接收端能够完全知道信道状态信息的情况下,给出了最大化传输速率的低复杂度比特和功率分配算法。仿真结果表明,提出的算法可以有效地满足系统地误比特率要求,同时大大降低了系统的计算复杂度,是一种有效地系统传输速率优化方法。

The research system optimization problem rate increase.As the user on the system the transmission rate of the demand is higher and higher,the traditional system optimization algorithm as the parameter setting rate,and cause a difficult algorithm complexity is extremely high,the system the transmission rate is reduced,in order to solve the above problems,based on error bit rate and power based on the analysis,and proposes an improved maximum entropy algorithm to optimize the system transmission rate method.Methods firstly give system model and algorithm of adaptive maximum entropy theory,and then in a sender and receiver can completely know the information of the channel state,given the maximum transmission rate low complexity and power allocation algorithm bits.The simulation results show that the proposed algorithm can effectively meet the system to miss bit rate requirements,while greatly reduce the computational complexity of the system,it is a kind of effective system transmission rate optimization method.