多用户电力线通信资源优化调度策略仿真

Simulation of Multi-User Power Line Communication Resource Optimization Scheduling Strategy

采用当前方法调度多用户电力通信资源时,不能保证各个用户的服务质量,调度所用的时间较长,存在均衡度低和调度效率低的问题。提出多用户电力线通信资源优化调度方法,将速率比例约束条件引入电力线通信网络的电力线信道模型和噪声模型中,构建多用户电力线通信资源优化调度模型。采用遗传算法求解多用户电力线通信资源优化调度模型,根据信道增益完成初始群体的选择,选用传输速率作为适应度函数,通过锦标赛制选择算子完成选择运算,采用变异概率和交叉概率调整调度策略,设置终止条件,当遗传搜索算法搜索到多个新个体或迭代次数达到最大值时,停止迭代输出多用户电力线通信资源优化调度模型的最优解,完成多用户电力线通信资源的优化调度。仿真结果表明,所提方法的均衡度高、调度效率高。

When current method was used to dispatch multi-user power communication resources,the service quality for each user can not be guaranteed.Therefore,an optimization scheduling method for multi-user power line communication resource was proposed.The constraint condition of velocity rate was introduced into the power line channel model and noise model of power line communication network to construct an optimization scheduling model of multi-user power line communication resource.The genetic algorithm was used to solve the optimization scheduling model.According to the channel gain,the selection for initial population was completed.Moreover,the transmission rate was selected as the fitness function.The tournament selection operator was used to finish the selection operator.After that,the mutation probability and the crossover probability were used to adjust scheduling strategy and set the termination condition.When the genetic search algorithm searched for many new individuals or the number of iterations reached the maximum value,the iterative output for optimal solution of multi-user power line communication resource optimization scheduling model was stopped.Finally,the optimal scheduling of multi-user power line communication resource was completed.The simulation results show that the proposed method has high equilibrium degree and scheduling efficiency.