Scheduling algorithm for distributed station based on particle swarm optimization

In this paper, an HSDPA packet scheduling algorithm based on particle swarm for distributed station is studied. This algorithm can be applied for non-real time service packet scheduling. A weighted object function is proposed for the non-real time service. The channel information and time delay information are combined by the weighted methods, and an intelligent packet scheduling algorithm is proposed where particle swarm algorithm is applied to solve this problem. The computer simulations confirm that this intelligent scheduling algorithm achieves a good compromise between the fairness of users and the throughput of the system for non-real-time service, and the performance is better than the proportional fair algorithm.