Strategies for optimizing power line communication resources

When the current method was used to dispatch electric Communication Resources, the service quality for each user cannot be guaranteed. Therefore, an optimal scheduling method for power line communication resources is proposed. The rate constraints are introduced into the power line channel model and the power line communication network noise model, and the optimal scheduling model of multi-user power line communication resources is constructed. The optimal scheduling model is solved using genetic algorithm. Based on the channel gain, the selection of the initial population was accomplished. In addition, the transmission rate was selected as the fitness function. The selection operator is completed using the tournament selection operator. When the genetic algorithm completes the search, the iterative output of the optimal solution of the optimal scheduling model for multiuser power line communication resources is stopped. Finally, the optimal scheduling is completed. Simulation results show that the proposed method has a high degree of equalization and scheduling efficiency.