基于奖励优化的无线网络多优先级服务的QoS保证

Okan Yilmaz, I. Chen
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引用次数: 2

摘要

我们报告了一类呼叫接纳控制(CAC)算法的性能特征,该算法设计用于服务无线网络中的多个优先级,其目标是服务质量(QoS)满意度和奖励优化。我们所说的奖励是指系统通过服务多个优先级类而获得的某种“价值”。在本文中,我们设计并评估了基于弹性阈值的新算法CAC的性能,根据服务于具有不同QoS要求的多个优先级类的QoS满意度可获得的最大奖励,并将其与现有的分区,阈值和溢出CAC算法进行了比较。我们还开发了一种基于启发式的搜索方法,通过根据每个服务类别的总奖励和拒绝率与QoS约束顺序调整这些阈值来确定用于多个服务类别的最佳阈值集。我们通过测试用例和仿真证明,在服务于无线网络中的多个QoS服务类别的解决方案最优性方面,基于弹性阈值的CAC在QoS满意度和奖励优化方面优于现有的CAC算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On QoS Guarantees with Reward Optimization for Servicing Multiple Priority Classes in Wireless Networks
We report 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 anew 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 total reward and rejection rate 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.
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