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Elastic threshold-based admission control for QoS satisfaction with reward optimization for servicing multiple priority classes in wireless networks

机译:基于弹性阈值的准入控制,用于服务质量的QoS满足和奖励优化,用于服务无线网络中的多个优先级

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摘要

We analyze performance characteristics of a class of call admission control (CAC) algorithms designed for servicing multiple priority classes in wireless networks with the goal of quality of service (QoS) satisfaction and reward optimization. By reward, we mean some sort of "value" obtained by the system as a result of servicing multiple priority classes. In this paper we design and evaluate the performance of a new algorithm, elastic threshold-based CAC, in terms of the maximum reward obtainable with QoS satisfaction from servicing multiple priority classes with distinct QoS requirements, and compare it with existing partitioning, threshold, and spillover CAC algorithms. We also develop a heuristic-based search method to determine the best threshold-value sets used for multiple service classes by sequentially adjusting these thresholds based on the reward and rejection rate obtainable vs. QoS constraints of each service class. We demonstrate through test cases and simulation that elastic threshold-based CAC outperforms existing CAC algorithms for QoS satisfaction and reward optimization in solution optimality for serving multiple QoS service classes in wireless networks.
机译:我们分析了旨在为无线网络中的多个优先级等级提供服务的一类呼叫准入控制(CAC)算法的性能特征,以服务质量(QoS)满意度和奖励优化为目标。奖励是指系统由于为多个优先级提供服务而获得的某种“价值”。在本文中,我们根据为满足不同QoS要求的多个优先级类别提供服务并获得QoS满意而获得的最大奖励,设计并评估了一种新的算法-基于弹性阈值的CAC的性能,并将其与现有的分区,阈值和溢出CAC算法。我们还开发了一种基于启发式的搜索方法,通过根据可获取的奖励和拒绝率与每个服务类别的QoS约束依次调整这些阈值,来确定用于多个服务类别的最佳阈值集。通过测试案例和仿真,我们证明了基于弹性阈值的CAC在服务于无线网络中多个QoS服务类别的解决方案最优性方面,优于QoS方面的现有CAC算法和奖励优化。

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