针对异构网络环境中的网络选择问题,提出了使用剩余服务时间的异构网络选择算法.大部分现有的工作都是在一个时刻点只考虑用户或者网络收益全局的最优化,而没有考虑最优分配结果对后续到达业务影响的问题.剩余服务时间的概念将这个影响引入文中提出的建模中,从而得到一个在长时间尺度上更好的网络选择方案.文中使用非合作博弈对网络进行建模,并证明了文中提出的博弈模型的纳什均衡点同时也是全局的最优解;最后,利用李雅普诺夫理论证明了文中算法的稳定性.仿真结果说明,剩余服务时间的引入能够使网络的性能得到改善,降低了用户的阻塞率,提高了网络总的收益.
We propose a network selection algorithm based on the residual service time for the network selection problem in heterogeneous networks.There have been already many research works and achievements in this area,but most of the existing works just consider the optimal user or network revenue which does not consider the impact of new users.This paper presents the concept of the residual service time,and uses it to model the impact of the new users,in order to get a better network option on long time scales.In this paper,we use the noncooperative game to model the network,and prove that the Nash equilibrium of the model is also the global optimal solution.Finally,we use the Lyapunov stability theory to show that the proposed algorithm is stable.Simulation results show that the introduction of the residual service time can improve the network performance,reduce the blocking rate,and increase the total network revenue.