A traffic overload control approach to new generation electric communication networks based on IP-RAN

This paper studies the traffic overload control issue in the new generation electric communication network. We propose an energy-efficient traffic overload control algorithm based on genetic algorithm and hybrid particle swarm optimization. We simultaneously consider the traffic overload control and energy efficiency in the soft-switch server of new generation electric communication networks. Then the rate allocation method is used to construct the control input rate. The energy-efficient traffic overload control model is built. And we use the hybrid particle swarm optimization to solve the model, the initial solution is obtained, and then genetic algorithm is used to handle the initial solution, and obtain the exact optimal solution. Finally, the simulation results show that the proposed algorithm is feasible and effective.