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QoS-guaranteed call admission scheme for broadband multiservices mobile wireless networks

机译:宽带多业务移动无线网络的QoS保证呼叫接纳方案

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In wireless networks, bandwidth is extremely valuable resource. Therefore, an effective call admission control is urgent for bandwidth allocation with the occurrence of handoff increasing. The main challenges with multiple types of traffic are that each has its own requirements of bandwidth, traffic characteristic, QoS guarantee and handoff rate. Moreover, the computational complexity is another challenge. To meet these challenges, we set up a fictitious stochastic model to study the actual system so as to avoid coping with the complex multiple dimensions stochastic problem. On one hand, it can turn the multiple steps of state transition into single step, which is a necessary condition for ideal birth-death processes. On the other hand, it can provide a simple and effective method to compute a little larger approximation of the call dropping probabilities for multiple services, which facilitate our estimation for the acceptance ratio vector subject to QoS requirement. In addition, the boundary conditions are also considered in order to improve the control precision. Furthermore, a fast numerical method has been found to decrease the computation complexity greatly. As a result, we get an effective multiservices dynamic call admission scheme called EMDCA to adapt for multiple types of services in broadband wireless networks. Numerical results of simulation show that our scheme steadily satisfies the hard constraint on call dropping probability of multiservices while maintaining a high channel throughput.
机译:在无线网络中,带宽是极其宝贵的资源。因此,随着越区切换的发生增加,对于带宽分配,有效的呼叫接纳控制是紧急的。多种流量类型的主要挑战是每种类型都有自己的带宽,流量特性,QoS保证和切换率要求。而且,计算复杂度是另一个挑战。为了应对这些挑战,我们建立了一个虚拟的随机模型来研究实际系统,以避免应付复杂的多维随机问题。一方面,它可以将状态转换的多个步骤转变为单个步骤,这是理想的出生-死亡过程的必要条件。另一方面,它可以提供一种简单有效的方法来计算多个服务的掉话概率的较大近似值,这有助于我们估计受QoS要求的接受率向量。另外,还考虑了边界条件以提高控制精度。此外,已经发现一种快速数值方法大大降低了计算复杂度。结果,我们得到了一种有效的多服务动态呼叫允许方案,称为EMDCA,以适应宽带无线网络中的多种服务。仿真结果表明,该方案在保持较高的信道吞吐量的同时,稳定地满足了对多业务掉话概率的严格约束。

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