基于多目标粒子群算法的异构网接入控制

各种异构接入网络的无缝融合是下一代网络的显著体征之一。研究异构网络的呼入接纳控制,考虑延时、价格和阻塞率因素,致力于同时提高运营商收益和用户满意度,将无线异构网络的呼入接纳控制转换为组合优化问题,利用多目标粒子群优化算法收敛速度快,可同时在多目标上进行优化的特点,提出了一种基于多目标粒子群优化算法的异构无线网络呼入接纳控制算法。通过仿真,证明可以在运营商的收益和用户群的满意度中找到好的平衡。

Joint Call Admission Control in Heterogeneous Wireless Network Based on Multi-objective Particle Swarm Optimization Algorithm

The integration of different heterogeneous access network is one of the remarkable characteristics of the next generation networks. This paper studies joint call admission control in heterogeneous wireless network, In view of delay time, price and blocking rate, the joint call admission control is converted into combinatorial optimization problem in order to improve the income of businesses and the satisfaction of users at the same time. Taking advantage of such characteristics as higher convergence speed of multi-objective particle swarm optimization algorithm and simultaneous optimization of multiple objectives, this paper proposes joint call admission control based on multi-objective particle swarm optimization algorithm. The simulation result shows that this algorithm can find a good balance point between the income of operator and the degree of satisfaction of users.